profile: per-term legacy FI/TN sample profiler (L76); passage/support is ~75% of field time
Opt-in at build time (VOXELFORGE_PROFILE_LEGACY_TERMS=1; compiled out by default, ~2% when on). Per legacy sample: passage/support composer ~1.05 us vs primitive scan ~0.19 us, boundary band ~0.06 us, noise ~0.01 us. Resolved-passage constants are cached at field binding (arithmetic order unchanged); whole-view effect within noise. Per-tile hashes identical to L75 in all 24 compiler x worker x view comparisons; fast tier PASS; Linux UE host builds. R40 researcher notes attached. 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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"""Run three interleaved whole-view timing pairs for L75 and L76 Clang builds."""
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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 / os.environ.get("VOXELFORGE_L76_TIMING_OUT", "Saved/Linux/l76/timing")
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARIES = {
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"before": ROOT / "Saved/Linux/l75/bin/VoxelForgeCoreHeadless-l75-clang",
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"after": ROOT / "Standalone/bin/linux/VoxelForgeCoreHeadless-l76-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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ORDERS = (("before", "after"), ("after", "before"), ("before", "after"))
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PIPELINE = re.compile(r"\[StreamPipeline\] (.*)")
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PAIR = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
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def run(strate: int, pair: int, mode: str) -> dict:
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label = f"strate{strate}-pair{pair}-{mode}"
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log = OUT / f"{label}.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", "--", "timeout",
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"1740s", str(BINARIES[mode]), str(DATA), "--world-assembler-prototype",
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"--stream-benchmark", "--stream-pipeline", "--force-generate", "--workers=8",
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"--clip-radius=3", "--max-clip-level=8", "--max-level=8", f"--camera={camera}",
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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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match = PIPELINE.search(content)
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stamp = re.search(r"^\[VoxelForgeSourceStamp\] sha256=(\S+)$", content, re.M)
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if result.returncode != 0 or match is None:
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raise SystemExit(f"timing run failed or summary missing; see {log}")
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pipeline = dict(PAIR.findall(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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"process_wall_s": round(time.monotonic() - started, 3),
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"whole_view_ready_s": float(pipeline["whole_view_ready"].removesuffix("s")),
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"stream_wall_s": float(pipeline["stream_wall"].removesuffix("s")),
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"whole_tiles": int(pipeline["whole_tiles"].split("/")[0]),
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"source_stamp": stamp.group(1) if stamp else None,
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"log": str(log.relative_to(ROOT)),
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}
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print("[L76TimingPairRun] " + 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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OUT.mkdir(parents=True, exist_ok=True)
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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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for mode in order:
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rows.append(run(strate, pair, mode))
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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 = [row["whole_view_ready_s"] for row in group if row["mode"] == "before"]
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after = [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),
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"before_s": [round(value, 3) for value in before],
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"after_s": [round(value, 3) for value in after],
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"before_median_s": round(statistics.median(before), 3),
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"after_median_s": round(statistics.median(after), 3),
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"change_pct": round(100.0 * (statistics.median(after)
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/ statistics.median(before) - 1.0), 2),
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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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for row in summary:
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print("[L76TimingPairSummary] " + json.dumps(row, sort_keys=True), flush=True)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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