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/RunL109Timing.py

@@ -0,0 +1,105 @@
+#!/usr/bin/env python3
+"""Five interleaved L80 readiness pairs for L109, at W8 and W12."""
+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/timing"
+DATA = ROOT / "Standalone/data/owner_world.json"
+BINARIES = {
+    "base": ROOT / "Saved/Linux/l109/bin-baseline/VoxelForgeCoreHeadless-l109-baseline",
+    "candidate": ROOT / "Saved/Linux/l109/bin-final/VoxelForgeCoreHeadless-l109-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),
+}
+PIPELINE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
+FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
+NEAR = re.compile(
+    r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) cold_ready_s=([0-9.]+)$",
+    re.M,
+)
+
+
+def run(strate: int, workers: int, variant: str, phase: str, replicate: int) -> dict:
+    OUT.mkdir(parents=True, exist_ok=True)
+    label = f"s{strate}-w{workers}-{variant}-{phase}{replicate}"
+    log = OUT / f"{label}.log"
+    camera = ",".join(f"{v:.12f}" for v in CAMERAS[strate]) + ",0,0"
+    command = [
+        "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
+        "timeout", "1740s", str(BINARIES[variant]), str(DATA),
+        "--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
+        f"--workers={workers}", "--clip-radius=3", "--max-clip-level=8", "--max-level=8",
+        f"--camera={camera}", "--profile-lod-work", "--stream-scheduler-policy=3",
+    ]
+    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)
+    content = log.read_text(encoding="utf-8", errors="replace")
+    pipeline_match = PIPELINE.search(content)
+    near_match = NEAR.search(content)
+    if result.returncode or pipeline_match is None or near_match is None:
+        raise SystemExit(f"readiness run failed or trace missing: {log}; exit={result.returncode}")
+    pipeline = dict(FIELDS.findall(pipeline_match.group(1)))
+    row = {
+        "strate": strate, "workers": workers, "variant": variant,
+        "phase": phase, "replicate": replicate, "exit_code": result.returncode,
+        "wall_s": round(time.monotonic() - start, 3),
+        "lod02_ready_s": float(near_match.group(3)),
+        "whole_view_ready_s": float(pipeline["whole_view_ready"].removesuffix("s")),
+        "whole_tiles": int(pipeline["whole_tiles"].split("/")[0]),
+        "log": str(log.relative_to(ROOT)),
+    }
+    print("[L109TimingRun] " + json.dumps(row, sort_keys=True), flush=True)
+    return row
+
+
+def main() -> int:
+    if not DATA.is_file() or any(not binary.is_file() for binary in BINARIES.values()):
+        raise SystemExit("missing data or timing binary")
+    rows = []
+    for strate in range(4):
+        for workers in (8, 12):
+            run(strate, workers, "base", "warmup", 0)
+            run(strate, workers, "candidate", "warmup", 0)
+            for replicate in range(1, 6):
+                order = ("base", "candidate") if replicate % 2 else ("candidate", "base")
+                for variant in order:
+                    rows.append(run(strate, workers, variant, "measured", replicate))
+                    (OUT / "runs-partial.json").write_text(
+                        json.dumps(rows, indent=2) + "\n", encoding="utf-8")
+    summary = []
+    for strate in range(4):
+        for workers in (8, 12):
+            item = {"strate": strate, "workers": workers, "pairs": 5}
+            for variant in ("base", "candidate"):
+                group = [row for row in rows if row["strate"] == strate
+                         and row["workers"] == workers and row["variant"] == variant]
+                for key in ("lod02_ready_s", "whole_view_ready_s"):
+                    values = [row[key] for row in group]
+                    item[f"{variant}_{key}"] = values
+                    item[f"{variant}_{key}_median"] = statistics.median(values)
+            for key in ("lod02_ready_s", "whole_view_ready_s"):
+                base = item[f"base_{key}_median"]
+                candidate = item[f"candidate_{key}_median"]
+                item[f"{key}_delta_pct"] = round(100 * (candidate / base - 1), 2)
+            summary.append(item)
+    (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())