passages: tunnels own their floor - flat-bottomed tube + solid shell (L109, v217) - pending visual review

Owner design: flat world-horizontal floor (0.50 m corner blend), 0.75 m solid shell written only
where the host field is air (interiors union first and beat every shell), 5 m cubic mouth ramps.
Removed route support restoration, deferred support, support columns, mouth-support restoration
and their capsule checks (-5,129 / +1,641 lines). Near-ready @W12: FI 1.39 -> 0.86, TN 1.29 ->
0.90, VS 0.85 -> 0.74, SW 0.70 -> 0.76 s (more shell/skirt surface). All walk audits pass;
Clang/GCC W1/W8/W12 deterministic; fast tier PASS; Linux UE builds; 6 UE arrival traces pass.
OPEN ISSUE: open-air shell (e.g. passage 0-1, 1037-1489 m route span) shows a regular stepped
banding pattern - not merged into assembler/world until fixed/approved.

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

Standalone/Research/WorldAssemblerM3/Linux109/RunL109PhaseCensus.py

@@ -0,0 +1,112 @@
+#!/usr/bin/env python3
+"""Estimate L77 passage/support worker shares before and after L109."""
+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/l109/l77-phase-census"
+DATA = ROOT / "Standalone/data/owner_world.json"
+BINARIES = {
+    "base": ROOT / "Saved/Linux/l109/bin-baseline-profile/VoxelForgeCoreHeadless-l109-base-profile",
+    "candidate": ROOT / "Saved/Linux/l109/bin-final-profile/VoxelForgeCoreHeadless-l109-candidate-profile",
+}
+CAMERAS = {
+    "FI": (25.8369140625, 3.19921875, -737.0),
+    "TN": (19.166015625, -14.2001953125, -753.3740234375),
+}
+WORKER = re.compile(r"^\[WorldAssemblerLODWorker\] (.*)$", re.M)
+SAMPLE = re.compile(r"^\[L77Sample\] (.*)$", re.M)
+SAMPLER = re.compile(r"^\[L77Sampler\] action=stop (.*)$", re.M)
+FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
+
+
+def run(stratum: str, variant: str, replicate: int) -> dict:
+    OUT.mkdir(parents=True, exist_ok=True)
+    label = f"{stratum.lower()}-{variant}-r{replicate}"
+    log = OUT / f"{label}.log"
+    camera = ",".join(f"{value:.12f}" for value in CAMERAS[stratum]) + ",0,0"
+    command = [
+        "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
+        "timeout", "1740s", str(BINARIES[variant]), 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", "--stream-scheduler-policy=3",
+        "--linux77-profile",
+    ]
+    started = 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)
+    content = log.read_text(encoding="utf-8", errors="replace")
+    sampler_match = SAMPLER.search(content)
+    workers = [dict(FIELDS.findall(match.group(1))) for match in WORKER.finditer(content)]
+    samples = [dict(FIELDS.findall(match.group(1))) for match in SAMPLE.finditer(content)]
+    if result.returncode or sampler_match is None or len(workers) < 9 or not samples:
+        raise SystemExit(f"phase census failed or markers missing: {log}; exit={result.returncode}")
+    sampler = dict(FIELDS.findall(sampler_match.group(1)))
+    if sampler.get("status") != "PASS":
+        raise SystemExit(f"L77 sampler failed: {log}: {sampler}")
+    lod_seconds = {int(row["lod"]): float(row["worker_sum_s"]) for row in workers}
+
+    def estimate(scope: str) -> dict:
+        lods = set(range(3)) if scope == "lod0-2" else set(range(9))
+        eligible = [row for row in samples if int(row["lod"]) in lods]
+        weights = {phase: sum(int(row.get("weight", "1")) for row in eligible
+                              if row.get("phase") == phase)
+                   for phase in ("passages", "support")}
+        total_weight = sum(int(row.get("weight", "1")) for row in eligible)
+        cpu_seconds = sum(value for lod, value in lod_seconds.items() if lod in lods)
+        result_row = {"worker_cpu_s": round(cpu_seconds, 4),
+                      "weighted_samples": total_weight}
+        for phase, weight in weights.items():
+            share = weight / total_weight if total_weight else 0.0
+            result_row[f"{phase}_share_pct"] = round(share * 100.0, 3)
+            result_row[f"{phase}_worker_s_estimate"] = round(cpu_seconds * share, 4)
+        return result_row
+
+    row = {
+        "stratum": stratum, "variant": variant, "replicate": replicate,
+        "exit_code": result.returncode,
+        "sampler": sampler,
+        "lod0_2": estimate("lod0-2"), "whole_view": estimate("whole"),
+        "log": str(log.relative_to(ROOT)),
+        "runner_wall_s": round(time.monotonic() - started, 3),
+    }
+    print("[L109PhaseCensusRun] " + json.dumps(row, sort_keys=True), flush=True)
+    return row
+
+
+def main() -> int:
+    if any(not path.is_file() for path in BINARIES.values()):
+        raise SystemExit("missing L77 profile binary")
+    rows = [run(stratum, variant, replicate)
+            for stratum in ("FI", "TN")
+            for replicate in (1, 2)
+            for variant in ("base", "candidate")]
+    summary = []
+    for stratum in ("FI", "TN"):
+        for variant in ("base", "candidate"):
+            entry = {"stratum": stratum, "variant": variant, "replicates": 2}
+            group = [row for row in rows if row["stratum"] == stratum
+                     and row["variant"] == variant]
+            for scope in ("lod0_2", "whole_view"):
+                for key in ("worker_cpu_s", "passages_share_pct", "passages_worker_s_estimate",
+                            "support_share_pct", "support_worker_s_estimate"):
+                    values = [row[scope][key] for row in group]
+                    entry[f"{scope}_{key}_runs"] = values
+                    entry[f"{scope}_{key}_median"] = statistics.median(values)
+            summary.append(entry)
+    (OUT / "summary.json").write_text(
+        json.dumps({"runs": rows, "summary": summary}, indent=2) + "\n",
+        encoding="utf-8")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())