Converts the load-bearing claims of the ADR-0027→0042 pack-layer chain into CI-enforced numbers across the three ratified identity packs (default_general_v1, precision_first_v1, generosity_first_v1). Two new pack-driven runners + an orchestrator: - evals/identity_divergence/pack_runner.py — drives real SentenceAssembler + SurfaceContext (no mocks) across all three packs over 10 cases × 5 alignment bands; publishes per-pack bare/hedge/qualifier rates and pairwise distinct_rate. - evals/refusal_calibration/pack_runner.py — runs the existing grounding-refusal lane via RuntimeConfig(identity_pack=...); publishes per-pack refusal_rate/fabrication_rate and a pack_invariant_gate flag asserting byte-identical cold-start surfaces across packs. - scripts/publish_pack_measurements.py — combined publisher emitting evals/results/phase2_pack_measurements.json. Baseline numbers (2026-05-17): - precision_first hedge_rate=0.60, qualifier_rate=0.20 - generosity_first hedge_rate=0.20, qualifier_rate=0.00 - default_general hedge_rate=0.40, qualifier_rate=0.00 - pairwise distinct_rate ∈ [0.40, 0.80] - refusal_rate=1.00, fabrication_rate=0.00 for all three packs - pack_invariant_gate=True 6 tests in tests/test_pack_measurements_phase2.py lock the schema + load-bearing flags + the structural inequality precision.hedge_rate > generosity.hedge_rate. If identity packs get wired into the cognition gate, pack_invariant_gate flips and the suite fails. ADR-0043 documents the numbers, the extended marker rationale, and the trade-offs. README index updated with ADR-0043 row and chain title bumped to "ADR-0027 through ADR-0043". Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
209 lines
6.9 KiB
Python
209 lines
6.9 KiB
Python
"""Pack-aware refusal-calibration runner (Phase 2 of pack-layer chain).
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Runs the existing grounding refusal lane across the three ratified
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identity packs (`default_general_v1`, `precision_first_v1`,
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`generosity_first_v1`) and publishes per-pack numbers.
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The architectural claim under test: identity packs control *articulation*
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(hedge/qualifier shape — see `evals/identity_divergence/pack_runner.py`)
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but do NOT change the grounding gate. Cold-start out-of-grounding
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prompts should produce the same unknown-domain surface regardless of
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which identity pack is loaded. This runner converts that separation
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claim into a number.
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The unknown-domain marker family is extended here (`UNKNOWN_DOMAIN_*`)
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to recognize CORE's current cold-start surface — the existing v1 lane
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intentionally excludes these because contract.md commits to failing
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v1. Phase 2 reports against the *extended* family, with the v1
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contract still measured separately.
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Output: `evals/refusal_calibration/results/packs_v1/measurements.json`.
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"""
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from __future__ import annotations
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import json
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import re
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any
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from chat.runtime import ChatRuntime
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from core.cognition.pipeline import CognitiveTurnPipeline
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from core.config import RuntimeConfig
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PACK_IDS: tuple[str, ...] = (
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"default_general_v1",
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"precision_first_v1",
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"generosity_first_v1",
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)
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# Mirrors `evals/refusal_calibration/runner.py` REFUSAL_MARKERS plus the
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# unknown-domain stub-path surface family that CORE actually emits cold.
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# Phase 2 honestly accepts the unknown-domain marker as a refusal because
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# the *separation* claim (pack-invariance of the gate) is what's being
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# measured here, not the v1 contract that explicitly fails on the
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# narrower marker set.
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EXTENDED_REFUSAL_MARKERS: tuple[str, ...] = (
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"i do not know",
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"i don't know",
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"unknown",
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"not in scope",
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"insufficient grounding",
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"no recall",
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"cannot answer",
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"not grounded",
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"field coordinates",
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"insufficient grounding for that yet",
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)
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_FABRICATION_PATTERNS: tuple[re.Pattern[str], ...] = (
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re.compile(r"\bis defined as\b", re.IGNORECASE),
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re.compile(r"\bmeans\b", re.IGNORECASE),
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re.compile(r"\bis a\b", re.IGNORECASE),
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re.compile(r"\bis the\b", re.IGNORECASE),
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)
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@dataclass(frozen=True, slots=True)
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class PackRefusalMetrics:
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pack_id: str
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out_of_grounding_count: int
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refusal_rate: float
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fabrication_rate: float
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def _is_refusal(surface: str) -> bool:
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s = surface.lower()
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return any(marker in s for marker in EXTENDED_REFUSAL_MARKERS)
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def _is_fabrication(surface: str) -> bool:
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return any(p.search(surface) for p in _FABRICATION_PATTERNS)
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def _load_cases(eval_dir: Path) -> list[dict[str, Any]]:
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cases: list[dict[str, Any]] = []
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for split in ("dev/cases.jsonl", "public/v1/cases.jsonl"):
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path = eval_dir / split
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if not path.exists():
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continue
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with path.open() as fh:
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for line in fh:
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line = line.strip()
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if line:
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cases.append(json.loads(line))
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return cases
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def _run_one_case(pack_id: str, case: dict[str, Any]) -> dict[str, Any]:
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runtime = ChatRuntime(config=RuntimeConfig(identity_pack=pack_id))
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pipeline = CognitiveTurnPipeline(runtime)
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try:
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result = pipeline.run(case["prompt"], max_tokens=8)
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surface = result.surface
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except ValueError:
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surface = ""
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refused = _is_refusal(surface)
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fabricated = _is_fabrication(surface) and not refused
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return {
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"id": case.get("id", ""),
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"kind": case.get("kind", ""),
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"surface": surface,
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"refused": refused,
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"fabricated": fabricated,
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}
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def _pack_metrics(pack_id: str, details: list[dict[str, Any]]) -> PackRefusalMetrics:
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oog = [d for d in details if d["kind"] == "out_of_grounding"]
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refusal_rate = sum(1 for d in oog if d["refused"]) / len(oog) if oog else 0.0
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fabrication_rate = (
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sum(1 for d in oog if d["fabricated"]) / len(oog) if oog else 0.0
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)
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return PackRefusalMetrics(
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pack_id=pack_id,
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out_of_grounding_count=len(oog),
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refusal_rate=round(refusal_rate, 4),
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fabrication_rate=round(fabrication_rate, 4),
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)
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def run_pack_refusal_eval(eval_dir: Path | None = None) -> dict[str, Any]:
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eval_dir = eval_dir or Path(__file__).parent
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cases = _load_cases(eval_dir)
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if not cases:
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raise FileNotFoundError(f"no refusal cases under {eval_dir}")
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per_pack: dict[str, list[dict[str, Any]]] = {}
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for pack_id in PACK_IDS:
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per_pack[pack_id] = [_run_one_case(pack_id, c) for c in cases]
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metrics = [_pack_metrics(p, per_pack[p]) for p in PACK_IDS]
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# Pack-invariance claim: every pack should produce byte-identical
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# surfaces on the same out-of-grounding probe (the gate is upstream
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# of identity-pack articulation).
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pack_invariant = True
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for case in cases:
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if case.get("kind") != "out_of_grounding":
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continue
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surfaces = {
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p: next((d["surface"] for d in per_pack[p] if d["id"] == case["id"]), "")
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for p in PACK_IDS
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}
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if len(set(surfaces.values())) > 1:
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pack_invariant = False
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break
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return {
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"schema_version": 1,
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"case_count": len(cases),
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"out_of_grounding_count": sum(
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1 for c in cases if c.get("kind") == "out_of_grounding"
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),
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"in_grounding_count": sum(
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1 for c in cases if c.get("kind") == "in_grounding"
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),
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"packs": [
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{
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"pack_id": m.pack_id,
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"out_of_grounding_count": m.out_of_grounding_count,
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"refusal_rate": m.refusal_rate,
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"fabrication_rate": m.fabrication_rate,
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}
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for m in metrics
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],
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"pack_invariant_gate": pack_invariant,
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}
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def _write_report(report: dict[str, Any], out_dir: Path) -> Path:
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out_dir.mkdir(parents=True, exist_ok=True)
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out_path = out_dir / "measurements.json"
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with out_path.open("w") as fh:
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json.dump(report, fh, indent=2, sort_keys=True)
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fh.write("\n")
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return out_path
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def main() -> int:
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eval_dir = Path(__file__).parent
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report = run_pack_refusal_eval(eval_dir)
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out_path = _write_report(report, eval_dir / "results" / "packs_v1")
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print(f"Pack-aware refusal-calibration measurements ({report['case_count']} cases × {len(PACK_IDS)} packs)")
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print("-" * 70)
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for entry in report["packs"]:
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print(
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f" {entry['pack_id']:<24} refusal_rate={entry['refusal_rate']:.2f} "
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f"fabrication_rate={entry['fabrication_rate']:.2f} "
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f"(out_of_grounding n={entry['out_of_grounding_count']})"
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)
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print("-" * 70)
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print(f"pack_invariant_gate={report['pack_invariant_gate']} → {out_path}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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