feat: 리밸런싱 엔진 V1 + GAS 버그 수정 (2026-06-13)
주요 변경: - tools/build_rebalance_engine_v1.py: REBALANCE_ENGINE_V1 신규 * account_snapshot 직접 합산(_build_snap_position_map) → 소수주 분리 행 병합 * 레짐 소스 macro.REGIME_PRELIM 최우선 (GAS 와 동일) - src/gas_adapter_parts/gdf_06_rebalance.gs: runRebalanceSheet_() 신규 * Logger.log / getSpreadsheet_() 로 run_all 연동 수정 - src/gas_adapter_parts/gdc_01_fetch_fundamentals.gs * _mergePositionRecord_(): 소수주 중복 행 합산 신규 * parseInt → parseFloat (qty, availQty) - src/gas_adapter_parts/gdf_01_price_metrics.gs * 미보유 종목 SELL_READY → WATCH_EXIT_SIGNAL - spec/41_release_dag.yaml: build_rebalance_sheet 노드 추가 (step_count 63) - spec/51_formula_lifecycle_registry.yaml: REBALANCE_ENGINE_V1 등록 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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from __future__ import annotations
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import argparse
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import hashlib
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import json
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from pathlib import Path
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from typing import Any
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_JSON = ROOT / "GatherTradingData.json"
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DEFAULT_TRUTH = ROOT / "Temp" / "operational_truth_score_v1.json"
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DEFAULT_FJ = ROOT / "Temp" / "final_judgment_gate_v1.json"
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DEFAULT_SCR = ROOT / "Temp" / "smart_cash_recovery_v7.json"
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DEFAULT_HARDENING = ROOT / "Temp" / "strategy_hardening_harness_v2.json"
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DEFAULT_MATRIX = ROOT / "Temp" / "execution_readiness_matrix_v1.json"
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DEFAULT_OUT = ROOT / "Temp" / "final_execution_decision_v2.json"
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def _load(path: Path) -> dict[str, Any]:
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if not path.exists():
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return {}
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try:
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obj = json.loads(path.read_text(encoding="utf-8"))
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except Exception:
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return {}
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return obj if isinstance(obj, dict) else {}
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def _as_float(value: Any, default: float = 0.0) -> float:
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try:
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return float(value)
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except Exception:
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return default
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def _as_dict(value: Any) -> dict[str, Any]:
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if isinstance(value, dict):
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return value
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if isinstance(value, str) and value.strip():
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try:
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parsed = json.loads(value)
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return parsed if isinstance(parsed, dict) else {}
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except Exception:
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return {}
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return {}
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def _extract_harness_root(payload: dict[str, Any]) -> dict[str, Any]:
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h_apex = payload.get("hApex")
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data_apex = ((payload.get("data") or {}).get("_harness_context")) if isinstance(payload.get("data"), dict) else None
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if isinstance(h_apex, dict) and isinstance(data_apex, dict):
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merged = dict(data_apex)
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merged.update(h_apex)
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return merged
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if isinstance(h_apex, dict):
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return h_apex
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if isinstance(data_apex, dict):
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return data_apex
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return payload
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def _rows(v: Any) -> list[dict[str, Any]]:
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if isinstance(v, list):
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return [x for x in v if isinstance(x, dict)]
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if isinstance(v, str) and v.strip():
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try:
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parsed = json.loads(v)
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return _rows(parsed)
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except Exception:
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return []
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if isinstance(v, dict):
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for key in ("rows", "data", "tickers"):
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candidate = v.get(key)
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if isinstance(candidate, list):
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return [x for x in candidate if isinstance(x, dict)]
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return []
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def _file_hash(path: Path) -> str:
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return hashlib.sha256(path.read_bytes()).hexdigest()
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def main() -> int:
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ap = argparse.ArgumentParser()
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ap.add_argument("--json", default=str(DEFAULT_JSON))
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ap.add_argument("--truth", default=str(DEFAULT_TRUTH))
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ap.add_argument("--fj", default=str(DEFAULT_FJ))
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ap.add_argument("--scr", default=str(DEFAULT_SCR))
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ap.add_argument("--hardening", default=str(DEFAULT_HARDENING))
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ap.add_argument("--matrix", default=str(DEFAULT_MATRIX))
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ap.add_argument("--out", default=str(DEFAULT_OUT))
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args = ap.parse_args()
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def _rp(path_str: str) -> Path:
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path = Path(path_str)
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return path if path.is_absolute() else ROOT / path
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json_path = _rp(args.json)
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payload = _load(json_path)
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hctx = _extract_harness_root(payload)
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truth = _load(_rp(args.truth))
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fj = _load(_rp(args.fj))
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scr = _load(_rp(args.scr))
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hardening = _load(_rp(args.hardening))
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matrix = _load(_rp(args.matrix))
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export_gate = _as_dict(hctx.get("export_gate_json"))
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export_status = str(export_gate.get("json_validation_status") or hctx.get("json_validation_status") or "UNKNOWN")
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export_allowed = export_gate.get("hts_entry_allowed")
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truth_gate = str(truth.get("gate") or "MISSING")
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truth_score = _as_float(truth.get("score_0_100"))
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fj_gate = str(fj.get("gate") or "MISSING")
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fj_coverage = _as_float(fj.get("coverage_pct"))
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fj_silent = int(_as_float(fj.get("silent_pass_violations")))
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fj_late = int(len(fj.get("late_chase_buy_violations") or []))
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scr_allowed = bool(scr.get("execution_allowed"))
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scr_status = str(scr.get("status") or "UNKNOWN")
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scr_damage = _as_float(scr.get("value_damage_pct_avg"))
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hard_meta = hardening.get("meta_scores") if isinstance(hardening.get("meta_scores"), dict) else {}
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readiness_gate = str(hard_meta.get("readiness_gate") or "MISSING")
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matrix_gate = str(matrix.get("gate") or "MISSING")
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matrix_min_axis = _as_float(matrix.get("min_axis_score"))
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order_rows = _rows(hctx.get("order_blueprint_json"))
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hts_candidate_rows = [r for r in order_rows if str(r.get("validation_status") or "").upper() == "PASS"]
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hts_order_count = len(hts_candidate_rows)
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blocking_reasons: list[str] = []
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if truth_gate != "PASS_100":
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blocking_reasons.append(f"TRUTH_GATE={truth_gate}")
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if truth_score < 100.0:
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blocking_reasons.append(f"TRUTH_SCORE={truth_score:.2f}")
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if export_status != "EXPORT_READY" or export_allowed is not True:
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blocking_reasons.append(f"EXPORT_GATE={export_status}")
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if fj_gate != "PASS" or fj_silent > 0 or fj_coverage < 100.0 or fj_late > 0:
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blocking_reasons.append("FINAL_JUDGMENT_NOT_STABLE")
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if not scr_allowed or scr_status != "PASS":
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blocking_reasons.append("SMART_CASH_RECOVERY_BLOCKED")
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if scr_damage > 10.0:
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blocking_reasons.append("VALUE_DAMAGE_GT_10")
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if readiness_gate != "PERFORMANCE_READY":
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blocking_reasons.append(f"READINESS_GATE={readiness_gate}")
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if matrix_gate != "PASS_100" or matrix_min_axis < 100.0:
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blocking_reasons.append(f"EXECUTION_READINESS_MATRIX={matrix_gate}:{matrix_min_axis:.2f}")
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if not blocking_reasons and hts_order_count > 0:
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global_gate = "HTS_READY"
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buy_allowed = True
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sell_allowed = True
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llm_allowed_actions = ["HTS_READY"]
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else:
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global_gate = "AUDIT_ONLY"
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buy_allowed = False
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sell_allowed = False
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llm_allowed_actions = ["AUDIT_ONLY", "RENDER_LEDGER_ONLY", "SHADOW_LEDGER_ONLY"]
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input_hash = _file_hash(json_path)
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result = {
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"formula_id": "FINAL_EXECUTION_DECISION_V2",
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"global_execution_gate": global_gate,
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"buy_allowed": buy_allowed,
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"sell_allowed": sell_allowed,
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"hts_order_count": hts_order_count if global_gate == "HTS_READY" else 0,
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"reason_codes": blocking_reasons,
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"llm_allowed_actions": llm_allowed_actions,
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"decision_basis": {
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"truth_gate": truth_gate,
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"truth_score_0_100": truth_score,
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"final_judgment_gate": fj_gate,
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"final_judgment_coverage_pct": fj_coverage,
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"smart_cash_recovery_status": scr_status,
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"smart_cash_recovery_execution_allowed": scr_allowed,
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"smart_cash_recovery_value_damage_pct": scr_damage,
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"export_status": export_status,
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"export_allowed": export_allowed,
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"readiness_gate": readiness_gate,
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"execution_readiness_matrix_gate": matrix_gate,
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"execution_readiness_min_axis_score": matrix_min_axis,
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"hts_candidate_rows": hts_order_count,
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},
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"source_provenance": {
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"json_path": "Temp/final_execution_decision_v2.json",
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"input_hash": input_hash,
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"source_snapshot_hash": input_hash,
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"builder_version": "final_execution_decision_v2",
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"generated_at": __import__("datetime").datetime.now(__import__("datetime").timezone.utc).isoformat(),
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},
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}
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out_path = _rp(args.out)
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out_path.parent.mkdir(parents=True, exist_ok=True)
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out_path.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
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print(json.dumps(result, ensure_ascii=False, indent=2))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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