research: floor-ribbon falsifier and band column cache (L106, no code merged)
A route-only floor profile cannot reproduce current support semantics: support is gated per sample by native density < 0, player-capsule clearance, later-bore deferral and neighbouring- passage capsule checks (the overlapping-coil tile exercises all of them). The exact per-tile boundary-band XY column cache matched all 24 hashes but showed no consistent readiness gain, so it is kept as a patch only (patches/band-column-cache-not-merged.patch), not merged. 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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"""L80-protocol L105/L106 near and whole-view readiness pairs."""
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from __future__ import annotations
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import json
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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 / "Saved/Linux/l106/readiness-paired-extra"
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARIES = {
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"before": ROOT / "Saved/Linux/l105/bin/VoxelForgeCoreHeadless-l105-clang",
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"after": ROOT / "Saved/Linux/l106/bin/VoxelForgeCoreHeadless-l106-clang",
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}
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STRATA = {
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"sw": {"camera": (8.0, 16.0, -372.2626953125), "near": 1408, "whole": 2850},
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"fi": {"camera": (25.8369140625, 3.19921875, -737.0), "near": 1216, "whole": 2249},
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"tn": {"camera": (19.166015625, -14.2001953125, -753.3740234375), "near": 1344, "whole": 2233},
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"vs": {"camera": (-20.0625, -5.068359375, -900.353515625), "near": 1344, "whole": 2329},
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}
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NEAR = re.compile(r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) cold_ready_s=([0-9.]+)$", re.M)
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PIPELINE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
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CONFIG = re.compile(r"^\[HeadlessConfig\] (.*)$", re.M)
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STAMP = re.compile(r"^\[VoxelForgeSourceStamp\] sha256=([0-9a-f]{64})$", re.M)
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FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
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def run(stratum: str, workers: int, build: str, phase: str, replicate: int) -> dict:
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OUT.mkdir(parents=True, exist_ok=True)
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suffix = f"-r{replicate}" if phase == "measured" else ""
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log = OUT / f"{stratum}-w{workers}-{build}-{phase}{suffix}.log"
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camera = ",".join(f"{value:.12f}" for value in STRATA[stratum]["camera"]) + ",0,0"
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command = [
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"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--", "timeout", "1740s",
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str(BINARIES[build]), str(DATA), "--world-assembler-prototype",
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"--stream-benchmark", "--stream-pipeline", f"--workers={workers}",
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"--clip-radius=3", "--max-clip-level=8", "--max-level=8",
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f"--camera={camera}", "--profile-lod-work", "--stream-scheduler-policy=3",
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]
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started = time.monotonic()
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with log.open("w", encoding="utf-8") as stream:
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process = subprocess.run(command, cwd=ROOT, stdout=stream,
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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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near, pipeline, config, stamp = (NEAR.search(content), PIPELINE.search(content),
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CONFIG.search(content), STAMP.search(content))
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if process.returncode or not all((near, pipeline, config, stamp)):
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raise RuntimeError(f"readiness run failed or missing marker: {log}; exit={process.returncode}")
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expected = STRATA[stratum]
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config_fields = dict(FIELDS.findall(config.group(1)))
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pipeline_fields = dict(FIELDS.findall(pipeline.group(1)))
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if int(config_fields["workers"]) != workers:
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raise RuntimeError(f"worker mismatch: {log}")
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if (int(near.group(1)), int(near.group(2))) != (expected["near"], expected["near"]):
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raise RuntimeError(f"incomplete LOD0-2 set: {log}: {near.group(1)}/{near.group(2)}")
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whole_done, whole_total = map(int, pipeline_fields["whole_tiles"].split("/"))
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if (whole_done, whole_total) != (expected["whole"], expected["whole"]):
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raise RuntimeError(f"incomplete whole view: {log}: {whole_done}/{whole_total}")
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row = {
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"stratum": stratum, "workers": workers, "build": build,
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"phase": phase, "replicate": replicate, "source_stamp": stamp.group(1),
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"near_tiles": expected["near"], "whole_tiles": whole_done,
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"lod02_ready_s": float(near.group(3)),
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"whole_view_ready_s": float(pipeline_fields["whole_view_ready"].removesuffix("s")),
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"shape_s": float(pipeline_fields["shape"].removesuffix("s")),
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"far_shape_s": float(pipeline_fields["far_shape"].removesuffix("s")),
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"wall_s": round(time.monotonic() - started, 3),
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"log": str(log.relative_to(ROOT)),
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}
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print("[L106ReadinessRun] " + 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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for path in (*BINARIES.values(), DATA):
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if not path.is_file():
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raise SystemExit(f"missing input: {path}")
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cells = [(stratum, workers) for stratum in ("vs", "tn", "fi", "sw")
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for workers in (12, 8)]
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for stratum, workers in cells:
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for build in ("before", "after"):
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run(stratum, workers, build, "warmup", 0)
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orders = (("before", "after"), ("after", "before"), ("before", "after"))
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rows = []
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for stratum, workers in cells:
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for replicate, order in enumerate(orders, 1):
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for build in order:
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rows.append(run(stratum, workers, build, "measured", replicate))
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(OUT / "runs-partial.json").write_text(
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json.dumps(rows, indent=2) + "\n", encoding="utf-8")
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summary = []
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for stratum in STRATA:
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for workers in (8, 12):
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group = [row for row in rows if row["stratum"] == stratum
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and row["workers"] == workers]
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item = {"stratum": stratum, "workers": workers, "measured_runs_per_build": 3}
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for build in ("before", "after"):
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subset = [row for row in group if row["build"] == build]
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for metric in ("lod02_ready_s", "whole_view_ready_s"):
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values = [row[metric] for row in subset]
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item[f"{build}_{metric}"] = values
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item[f"{build}_{metric}_median"] = statistics.median(values)
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for metric in ("lod02_ready_s", "whole_view_ready_s"):
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item[f"{metric}_delta_pct"] = 100.0 * (
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item[f"after_{metric}_median"] / item[f"before_{metric}_median"] - 1.0)
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summary.append(item)
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(OUT / "summary.json").write_text(
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json.dumps({"runs": rows, "summary": summary}, indent=2) + "\n",
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encoding="utf-8")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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