Fr0zkaandClaude Opus 5.5
5c519f5206
After the normal visible-apply count is reached and <50% of the 2 ms budget is spent, apply one horizon result (off during startup boost; voxel.StreamingFarApplySupplement=0 disables). 30 m/s UE, 5 pairs: far holes 4.38% -> 2.70%, far finish-to-apply p50 1.105 -> 0.114 s, worst tick 14.74 ms (<15.43), near coverage +0.3 pt, arrival whole-view -313 ms. Geometry unchanged (24/24 hashes), fast tier green. Adds trace-only RMC proxy publication timing. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
286 lines
14 KiB
Python
286 lines
14 KiB
Python
#!/usr/bin/env python3
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"""Five interleaved L121 apply-supplement pairs at 30 m/s."""
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from __future__ import annotations
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import argparse
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import json
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import math
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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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HOST = Path("/home/jahni/VFHost")
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EDITOR = Path("/home/jahni/UnrealEngine/Engine/Binaries/Linux/UnrealEditor-Cmd")
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DATA = ROOT / "Standalone/data/owner_world.json"
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HEADLESS = ROOT / "Saved/Linux/l108/bin/VoxelForgeCoreHeadless-l108-after-clang"
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OUT = ROOT / "Saved/Linux/l121/movement/far-apply-supplement"
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HOST_SAVED = HOST / "Saved/Linux/l121"
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HOST_OUT = HOST / "Plugins/VoxelForge/Saved/Linux/l121/far-apply-supplement"
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ACTIVE_DESIGN = "far_apply_supplement"
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SPAWN_M = (19.166015625, -14.2001953125, -753.3740234375)
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MOVING_SAMPLE = re.compile(r"^\[L79MovingSample\] (.*)$", re.M)
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MOVING_SUMMARY = re.compile(r"^\[L79MovingSummary\] (.*)$", re.M)
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FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
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def p99(values: list[float]) -> float | None:
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if not values:
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return None
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values.sort()
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return values[max(0, math.ceil(0.99 * len(values)) - 1)]
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def parse_events(path: Path) -> list[dict]:
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events = []
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if not path.is_file():
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return events
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for line in path.read_text(encoding="utf-8", errors="replace").splitlines():
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if not line.startswith("{"):
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continue
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try:
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events.append(json.loads(line))
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except json.JSONDecodeError:
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pass
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return events
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def summarize(rows: list[dict], phase: str) -> dict:
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moving = [row for row in rows if row["phase"] == "move"]
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dwell = [row for row in rows if row["phase"] == "dwell"]
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def moving_mean(name: str) -> float | None:
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values = [row[name] for row in moving if name in row]
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return statistics.mean(values) if values else None
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complete = next((row for row in dwell
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if row["near_ready_pct"] >= 99.999
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and row["far_hole_pct"] <= 0.001), None)
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end = dwell[-1] if dwell else {}
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return {
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"moving_samples": len(moving),
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"dwell_samples": len(dwell),
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"near_ready_moving_mean_pct": moving_mean("near_ready_pct"),
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"lod0_ready_moving_mean_pct": moving_mean("lod0_ready_pct"),
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"lod1_ready_moving_mean_pct": moving_mean("lod1_ready_pct"),
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"lod2_ready_moving_mean_pct": moving_mean("lod2_ready_pct"),
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"far_holes_moving_mean_pct": moving_mean("far_hole_pct"),
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"near_ready_dwell_end_pct": end.get("near_ready_pct"),
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"far_holes_dwell_end_pct": end.get("far_hole_pct"),
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"dwell_complete_after_stop_s": complete.get("since_stop_s") if complete else None,
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"phase": phase,
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}
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def run_headless(condition: str, repetition: int) -> dict:
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worker_count = 8
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folder = OUT / condition / "headless"
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folder.mkdir(parents=True, exist_ok=True)
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log = folder / f"fast-r{repetition}.log"
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camera = ",".join(f"{value:.12f}" for value in SPAWN_M) + ",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(HEADLESS), str(DATA),
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"--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
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f"--workers={worker_count}", "--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", "--moving-camera-speed-mps=30.0",
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"--moving-camera-duration-s=12", "--moving-camera-dwell-s=5",
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]
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started = 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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content = log.read_text(encoding="utf-8", errors="replace")
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rows = []
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for match in MOVING_SAMPLE.finditer(content):
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row = dict(FIELDS.findall(match.group(1)))
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for name in ("t_s", "near_ready_pct", "walkable_ring_ready_pct",
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"far_hole_pct", "queue_update_ms"):
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if name in row:
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row[name] = float(row[name])
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row["phase"] = row.get("phase", "move")
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row["since_stop_s"] = max(0.0, row.get("t_s", 0.0) - 12.0)
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rows.append(row)
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engine_summary = {}
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if match := MOVING_SUMMARY.search(content):
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engine_summary = dict(FIELDS.findall(match.group(1)))
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if result.returncode or not rows or int(engine_summary.get("generation_failures", "-1")) != 0:
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raise RuntimeError(f"headless run failed: {log}; exit={result.returncode}")
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moving_updates = [row["queue_update_ms"] for row in rows
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if row["phase"] == "move" and "queue_update_ms" in row]
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return {
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"condition": condition, "platform": "headless", "speed_mps": 30.0,
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"repetition": repetition, "worker_count": worker_count,
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"exit_code": result.returncode,
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"wall_s": round(time.monotonic() - started, 3),
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"update_work_p99_ms": p99(moving_updates),
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"update_work_max_ms": max(moving_updates, default=None),
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"log": str(log.relative_to(ROOT)), **summarize(rows, "headless"),
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}
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def run_unreal(condition: str, repetition: int) -> dict:
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core_limit = 12
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worker_cap = 1
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far_apply_supplement = 0 if condition == "baseline" else 1
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folder = OUT / condition / "unreal"
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host_folder = HOST_OUT / condition / "output"
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folder.mkdir(parents=True, exist_ok=True)
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trace = folder / f"fast-r{repetition}.trace.jsonl"
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abslog = folder / f"fast-r{repetition}.log"
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stdout = folder / f"fast-r{repetition}.stdout.log"
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export = host_folder / f"fast-r{repetition}"
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userdir = HOST_SAVED / "user" / condition / f"fast-r{repetition}"
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zendata = HOST_SAVED / "zen" / condition / f"fast-r{repetition}"
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ddc = HOST_SAVED / "DDC"
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for path in (export, userdir, zendata, ddc):
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path.mkdir(parents=True, exist_ok=True)
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spawn_cm = ",".join(f"{value * 100.0:.3f}" for value in SPAWN_M)
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command = [
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str(EDITOR), str(HOST / "VFHost.uproject"), "-nullrhi", "-unattended",
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"-nop4", "-nosplash", "-NoSound", f"-corelimit={core_limit}",
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"-NoZenAutoLaunch", "-notraceserver", "-nocrashreports",
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"-DisablePlugins=AndroidFileServer", "-ddc=NoZenLocalFallback",
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f"-userdir={userdir}", f"-ZenDataPath={zendata}",
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f"-LocalDataCachePath={ddc}", "-run=VoxelForgeExplore", "-seed=0",
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"-archetype=TunnelNetwork", "-slot=0", "-modes=export", "-gameconfig=1",
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"-coreworldtest=1", "-ownerfourstrateplan=1", "-corevoxelsizecm=25",
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"-coreislandtest=0", "-corefallbacktest=0", "-coreofftest=0",
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"-coreplantest=0", "-settingsref=/Game/VoxelForge/DA_Settings.DA_Settings",
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"-corehybridmesher=0", f"-out={export}",
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"-voxel.StreamingCoarseFirst=1", "-voxel.StreamingDynamicNearReserve=1",
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"-voxel.StreamingLegacyPendingResultCap=0", "-voxel.CoreRegionConcurrentAdmission=1",
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"-voxel.StreamingResultBacklogCap=256", "-voxel.StreamingReadyQueueDepth=8",
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f"-voxel.StreamingBackgroundWorkerCap={worker_cap}",
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"-voxel.CoreColumnCacheDirectMapped=0",
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f"-voxel.StreamingFarApplySupplement={far_apply_supplement}",
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"-voxel.CoreMCGradientMemoization=1", "-voxel.StreamingCollisionLookahead=1",
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"-voxel.TestMove=1", "-voxel.TestMoveSpeedCmPerSecond=3000.0",
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"-voxel.TestMoveStartSeconds=6.0", "-voxel.TestMoveDurationSeconds=12.0",
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"-voxel.TestExitSeconds=23.0", "-voxel.TestMoveDirection=1,0,0",
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"-voxel.StreamingSchedulerPolicy=3", "-voxel.TestExitOnSteady=0",
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"-coreworldstreamtrace=1", f"-voxel.StartupTraceSpawnCm={spawn_cm}",
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"-voxel.StartupTraceUntilEndPlay=1", "-voxel.StartupTraceThroughCrossing=1",
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"-voxel.StartupTraceMaxTiles=16384", f"-voxel.StartupTraceFile={trace}",
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f"-abslog={abslog}",
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]
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wrapped = ["taskset", "-c", "0-11", "timeout", "1740s", *command]
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started = time.monotonic()
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with stdout.open("w", encoding="utf-8") as stream:
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result = subprocess.run(wrapped, cwd=ROOT, stdout=stream,
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stderr=subprocess.STDOUT, check=False, timeout=1740)
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events = parse_events(trace)
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samples = [event for event in events if event.get("type") == "streaming_sample"]
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moving_samples = [event for event in samples
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if float(event.get("speed_cm_s", 0.0)) >= 50.0]
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move_start = min((float(event.get("t_s", 0.0)) for event in moving_samples),
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default=float("inf"))
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stop_event = next((event for event in events
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if event.get("type") == "streaming_test_move_stopped"), None)
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stop = float(stop_event.get("t_s", 0.0)) if stop_event else float("inf")
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rows = []
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for event in samples:
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desired = event.get("desired_by_lod", [0] * 9)
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resident = event.get("resident_by_lod", [0] * 9)
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covered = event.get("covered_by_lod", resident)
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near_desired = sum(desired[:3])
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near_resident = sum(resident[:3])
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far_desired = sum(desired[3:])
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far_covered = sum(covered[3:])
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t_s = float(event.get("t_s", 0.0))
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speed = float(event.get("speed_cm_s", 0.0))
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phase = "move" if speed >= 50.0 else ("dwell" if t_s >= stop else "arrival")
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rows.append({
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"phase": phase, "t_s": t_s,
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"since_stop_s": max(0.0, t_s - stop) if phase == "dwell" else None,
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"near_ready_pct": 100.0 * near_resident / max(1, near_desired),
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"lod0_ready_pct": 100.0 * resident[0] / max(1, desired[0]),
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"lod1_ready_pct": 100.0 * resident[1] / max(1, desired[1]),
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"lod2_ready_pct": 100.0 * resident[2] / max(1, desired[2]),
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"far_hole_pct": 100.0 * (far_desired - far_covered) / max(1, far_desired),
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})
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dwell_rows = [row for row in rows if row["phase"] == "dwell"]
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complete = next((row for row in dwell_rows
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if row["near_ready_pct"] >= 99.999
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and row["far_hole_pct"] <= 0.001), None)
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moving_work = [event for event in events
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if event.get("type") == "game_thread_work_frame"
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and move_start <= float(event.get("t_s", 0.0)) < stop]
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ticks = [float(event.get("tick_ms", 0.0)) for event in moving_work]
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updates = [float(event.get("update_chunks_ms", 0.0)) for event in moving_work]
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backend = next((event for event in events
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if event.get("type") == "worker_backend_config"), {})
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worker_cap_readback = next((event for event in events
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if event.get("type") == "streaming_worker_cap_readback"), {})
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if result.returncode or len(moving_samples) < 40 or len(dwell_rows) < 16:
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raise RuntimeError(f"Unreal run failed/incomplete: {trace}; exit={result.returncode}; "
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f"move={len(moving_samples)} dwell={len(dwell_rows)}")
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expected_far_supplement = 0 if condition == "baseline" else 1
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expected_near_priority = "BackgroundLow"
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if (backend.get("near_priority") != expected_near_priority
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or backend.get("horizon_priority") != "BackgroundLow"
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or int(worker_cap_readback.get("streaming_background_worker_cap", -1)) != worker_cap
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or int(backend.get("streaming_far_apply_supplement", -1)) != expected_far_supplement
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or int(backend.get("effective_tile_slots", -1)) != (8 if worker_cap else 10)):
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raise RuntimeError(f"priority CVar readback mismatch in {trace}: {backend}")
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return {
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"condition": condition, "platform": "unreal", "speed_mps": 30.0,
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"repetition": repetition, "core_limit": core_limit,
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"effective_tile_slots": backend.get("effective_tile_slots"),
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"streaming_background_worker_cap": worker_cap_readback.get(
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"streaming_background_worker_cap"),
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"taskgraph_background_threads": backend.get("taskgraph_background_threads"),
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"exit_code": result.returncode,
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"wall_s": round(time.monotonic() - started, 3),
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"game_thread_tick_p99_ms": p99(ticks),
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"game_thread_tick_max_ms": max(ticks, default=None),
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"stream_update_p99_ms": p99(updates),
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"stream_update_max_ms": max(updates, default=None),
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"dwell_complete_after_stop_s": complete.get("since_stop_s") if complete else None,
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"moving_samples": len(moving_samples), "dwell_samples": len(dwell_rows),
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"trace": str(trace.relative_to(ROOT)),
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"log": str(abslog.relative_to(ROOT)),
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**summarize(rows, "unreal"),
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}
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def main() -> int:
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global ACTIVE_DESIGN, OUT, HOST_SAVED, HOST_OUT
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parser = argparse.ArgumentParser()
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parser.add_argument("--platform", choices=("all", "headless", "unreal"), default="all")
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parser.add_argument("--design", choices=("far_apply_supplement",),
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default="far_apply_supplement")
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args = parser.parse_args()
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ACTIVE_DESIGN = args.design
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design_path = "far-apply-supplement"
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OUT = ROOT / "Saved/Linux/l121/movement" / design_path
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HOST_SAVED = HOST / "Saved/Linux/l121" / design_path
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HOST_OUT = HOST / "Plugins/VoxelForge/Saved/Linux/l121" / design_path
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if not DATA.is_file() or not HEADLESS.is_file() or not EDITOR.is_file():
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raise SystemExit("missing owner data, L108 headless binary, or Unreal editor")
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OUT.mkdir(parents=True, exist_ok=True)
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results = []
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partial = OUT / "runs-partial.json"
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for repetition in range(1, 6):
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candidate = "far_supplement"
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conditions = ("baseline", candidate) if repetition % 2 else (candidate, "baseline")
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platforms = (("headless", "unreal") if repetition % 2 else ("unreal", "headless")) \
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if args.platform == "all" else (args.platform,)
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for condition in conditions:
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for platform in platforms:
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row = (run_headless(condition, repetition) if platform == "headless"
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else run_unreal(condition, repetition))
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results.append(row)
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partial.write_text(json.dumps(results, indent=2) + "\n", encoding="utf-8")
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print("[L121Movement] " + json.dumps(row, sort_keys=True), flush=True)
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design_description = "one supplemental far result after the normal four applies, with the 2 ms time budget"
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(OUT / "summary.json").write_text(
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json.dumps({"design": design_description,
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"runs": results}, 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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