passages: two-pass swept-tube tunnels (owner design, L99, v215) - pending owner visual review

Route plan unchanged. Per tile, route segments whose bounded influence (tube + 4 m) touches the
tile write min-combined tube distance (base sweep); relief/floor/mouth shaping only in the shell
(detail sweep); 0.5 m edge blend into the strate field. Near-ready @W12: SW 1.01->0.80,
FI 2.23->1.43, TN 2.18->1.37, VS 1.09->0.98 s; whole view FI 3.38->2.37 s. All passage walk
audits pass (21,425/21,425 canonical, 3/3 interfaces); 24-run Clang/GCC W1/W8/W12 determinism;
0 sign flips. Change: mean 0.02 cm / 0.05 deg; max 25.9 cm (passage walls/roofs ~3.5 m from
route, LOD2) and 49.8 deg (rock walls 13-25 m from routes, LOD2). Captures with diffs in
Linux99/captures. Fast tier PASS (v215 pins).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1

Standalone/Research/WorldAssemblerM3/Linux99/RunL99Census.py

@@ -0,0 +1,98 @@
+#!/usr/bin/env python3
+"""Three interleaved L77 passage-share censuses for L98 and L99, all four strata."""
+from __future__ import annotations
+
+import json
+import re
+import statistics
+import subprocess
+import time
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[4]
+OUT = ROOT / "Saved/Linux/l99/census"
+DATA = ROOT / "Standalone/data/owner_world.json"
+BINARIES = {
+    "L98": ROOT / "Saved/Linux/l98/profile-post-bin/VoxelForgeCoreHeadless-l98-post-profile",
+    "L99": ROOT / "Saved/Linux/l99/profile-bin/VoxelForgeCoreHeadless-l99-profile-clang",
+}
+CAMERAS = {
+    "SW": (8.0, 16.0, -372.2626953125),
+    "FI": (25.8369140625, 3.19921875, -737.0),
+    "TN": (19.166015625, -14.2001953125, -753.3740234375),
+    "VS": (-20.0625, -5.068359375, -900.353515625),
+}
+SAMPLE = re.compile(
+    r"^\[L77Sample\] pc=(0x\w+) lod=(\d+) .*?phase=(\S+) .*?weight=(\d+)$", re.M)
+SAMPLER = re.compile(
+    r"^\[L77Sampler\] action=stop .*?samples=(\d+).*?status=PASS$", re.M)
+
+
+def run(strate: str, label: str, rep: int) -> dict:
+    OUT.mkdir(parents=True, exist_ok=True)
+    log = OUT / f"{label.lower()}-{strate.lower()}-r{rep}.log"
+    camera = ",".join(f"{value:.12f}" for value in CAMERAS[strate]) + ",0,0"
+    command = [
+        "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
+        "timeout", "1740s", str(BINARIES[label]), str(DATA),
+        "--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
+        "--workers=8", "--clip-radius=3", "--max-clip-level=8", "--max-level=8",
+        f"--camera={camera}", "--profile-lod-work", "--linux77-profile",
+    ]
+    start = time.monotonic()
+    with log.open("w", encoding="utf-8") as stream:
+        result = subprocess.run(command, cwd=ROOT, stdout=stream,
+                                stderr=subprocess.STDOUT, check=False, timeout=1740)
+    output = log.read_text(encoding="utf-8", errors="replace")
+    samples = [(int(lod), phase, int(weight))
+               for _pc, lod, phase, weight in SAMPLE.findall(output)]
+    sampler = SAMPLER.search(output)
+    if result.returncode or not samples or sampler is None:
+        raise RuntimeError(f"L77 census failed: exit={result.returncode} {log}")
+    near = [row for row in samples if row[0] <= 2]
+    passage = sum(weight for _, phase, weight in near if phase == "passages")
+    total = sum(weight for _, _, weight in near)
+    row = {
+        "strate": strate, "binary": label, "replicate": rep,
+        "exit_code": result.returncode, "wall_s": round(time.monotonic() - start, 3),
+        "sampler_samples": int(sampler.group(1)), "near_lod_samples": len(near),
+        "near_lod_weighted_ticks": total,
+        "near_lod_passage_weighted_ticks": passage,
+        "near_lod_passage_share_pct": 100.0 * passage / total,
+        "log": str(log.relative_to(ROOT)),
+    }
+    print("[L99CensusRun] " + json.dumps(row, sort_keys=True), flush=True)
+    return row
+
+
+def main() -> int:
+    for binary in (*BINARIES.values(), DATA):
+        if not binary.is_file():
+            raise SystemExit(f"missing input: {binary}")
+    rows = []
+    orders = (("L98", "L99"), ("L99", "L98"), ("L98", "L99"))
+    for rep, order in enumerate(orders, 1):
+        for label in order:
+            for strate in CAMERAS:
+                rows.append(run(strate, label, rep))
+                (OUT / "runs-partial.json").write_text(json.dumps(rows, indent=2) + "\n",
+                                                       encoding="utf-8")
+    summary = []
+    for strate in CAMERAS:
+        item = {"strate": strate, "pairs": 3}
+        for label in BINARIES:
+            subset = [row for row in rows if row["strate"] == strate
+                      and row["binary"] == label]
+            values = [row["near_lod_passage_share_pct"] for row in subset]
+            item[f"{label}_runs_pct"] = values
+            item[f"{label}_mean_pct"] = statistics.mean(values)
+        item["change_pp"] = item["L99_mean_pct"] - item["L98_mean_pct"]
+        summary.append(item)
+    (OUT / "summary.json").write_text(json.dumps(
+        {"runs": rows, "near_lod_passage_share": summary}, indent=2) + "\n",
+        encoding="utf-8")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())