#!/usr/bin/env python3 """Collect full-grid sign-uniformity ceilings for the four owner arrivals.""" from __future__ import annotations import json import re import subprocess import sys import time from collections import defaultdict from pathlib import Path ROOT = Path(__file__).resolve().parents[4] OUT = ROOT / "Saved/Linux/l74/logs" DATA = ROOT / "Standalone/data/owner_world.json" BIN = ROOT / "Saved/Linux/l74/bin/VoxelForgeCoreHeadless-l74-clang" CAMERAS = { 0: (8.0, 16.0, -372.2626953125), 1: (25.8369140625, 3.19921875, -737.0), 2: (19.166015625, -14.2001953125, -753.3740234375), 3: (-20.0625, -5.068359375, -900.353515625), } ROW = re.compile(r"\[UniformGridCeiling\] (.*)") PAIR = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)") def parse_log(path: Path, view: int) -> list[dict]: rows = [] for line in path.read_text(encoding="utf-8", errors="replace").splitlines(): match = ROW.search(line) if not match: continue row = dict(PAIR.findall(match.group(1))) key = tuple(int(value) for value in row["key"].strip("()").split(",")) row.update(view=view, lod=int(row["lod"]), strate=int(row["strate"]), key=key, samples=int(row["samples"]), uniform=int(row["uniform"]), air=int(row["air"]), blocks8=int(row["blocks8"]), samples8=int(row["samples8"]), blocks4=int(row["blocks4"]), samples4=int(row["samples4"])) rows.append(row) return rows def run(view: int) -> list[dict]: camera = ",".join(f"{value:.12f}" for value in CAMERAS[view]) + ",0,0" log = OUT / f"ceiling-view{view}.log" command = [ "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--", "timeout", "1740s", str(BIN), str(DATA), "--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline", "--stream-hash-tiles", "--force-generate", "--workers=8", "--clip-radius=3", "--max-clip-level=8", "--max-level=8", f"--camera={camera}", ] start = time.monotonic() with log.open("w", encoding="utf-8") as output: result = subprocess.run(command, cwd=ROOT, stdout=output, stderr=subprocess.STDOUT, check=False, timeout=1740) rows = parse_log(log, view) print(json.dumps({"view": view, "exit_code": result.returncode, "wall_s": round(time.monotonic() - start, 3), "tiles": len(rows), "log": str(log.relative_to(ROOT))}, sort_keys=True), flush=True) if result.returncode != 0 or not rows: raise SystemExit(f"ceiling view {view} failed or emitted no rows; see {log}") return rows def main() -> int: if not DATA.is_file() or not BIN.is_file(): raise SystemExit("missing owner world or L74 headless binary") OUT.mkdir(parents=True, exist_ok=True) if sys.argv[1:] == ["--analyze-only"]: rows_path = OUT / "ceiling-rows.json" if not rows_path.is_file(): raise SystemExit("no recorded ceiling rows to analyze") all_rows = json.loads(rows_path.read_text(encoding="utf-8")) elif len(sys.argv) == 1: all_rows = [row for view in range(4) for row in run(view)] else: raise SystemExit("usage: RunCeilingL74.py [--analyze-only]") unique = {} for row in all_rows: row["key"] = tuple(row["key"]) # A tile's compiled field can depend on whether the whole-view build contains it # in its fine region, so retain each of the four camera-context observations. identity = (row["view"], row["strate"], row["lod"], row["key"]) previous = unique.get(identity) if previous is None or (previous["samples"] == 0 and row["samples"] > 0): unique[identity] = row elif previous["samples"] > 0 and row["samples"] > 0: signature = ("samples", "uniform", "air", "samples8", "samples4") if any(previous[field] != row[field] for field in signature): raise SystemExit(f"conflicting full-grid ceiling rows for tile {identity}") groups: dict[tuple[int, int], list[dict]] = defaultdict(list) for row in unique.values(): groups[(row["strate"], row["lod"])].append(row) summary = [] for (strate, lod), rows in sorted(groups.items()): tiles = len(rows) sampled_rows = [row for row in rows if row["samples"] > 0] sampled_tiles = len(sampled_rows) samples = sum(row["samples"] for row in sampled_rows) uniform_tiles = sum(row["uniform"] for row in sampled_rows) uniform_samples = sum(row["samples"] for row in rows if row["uniform"]) row = { "strate": strate, "lod": lod, "tiles_visited": tiles, "sampled_tiles": sampled_tiles, "grid_samples": samples, "uniform_tiles": uniform_tiles, "uniform_tile_pct": round(100 * uniform_tiles / sampled_tiles, 2) if sampled_tiles else 0, "uniform_tile_pct_of_visited": round(100 * uniform_tiles / tiles, 2) if tiles else 0, "uniform_air_tiles": sum(row["uniform"] and row["air"] for row in sampled_rows), "uniform_solid_tiles": sum(row["uniform"] and not row["air"] for row in sampled_rows), "samples_in_uniform_tiles_pct": round(100 * uniform_samples / samples, 2) if samples else 0, "uniform_8cube_samples_pct": round(100 * sum(row["samples8"] for row in rows) / samples, 2) if samples else 0, "uniform_4cube_samples_pct": round(100 * sum(row["samples4"] for row in rows) / samples, 2) if samples else 0, } summary.append(row) print("[L74Ceiling] " + json.dumps(row, sort_keys=True), flush=True) (OUT / "ceiling-rows.json").write_text(json.dumps(all_rows, indent=2) + "\n", encoding="utf-8") (OUT / "ceiling-summary.json").write_text(json.dumps(summary, indent=2) + "\n", encoding="utf-8") return 0 if __name__ == "__main__": raise SystemExit(main())