moved_repo_first_update
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rpotter6298
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#!/usr/bin/env python3
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"""Re-run a single grid-search configuration using the V2 loader pipeline."""
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from __future__ import annotations
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import argparse
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import csv
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import shutil
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import subprocess
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import sys
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from pathlib import Path
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from typing import Dict, List
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# ---------------------------
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# Config (edit in IDE)
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# ---------------------------
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RUN_ID = "20251129-0063" # fallback if --run-number is not provided
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OUTPUT_RUN_ID = RUN_ID # fallback output run id
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SHORTNAME = "re_runs_v2" # output root under analysis_data/ and models/
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GRID_PLAN = Path("analysis_data/grid_search/grid_plan.csv")
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MANIFEST = Path("manifest.csv")
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RUN_SCRIPT = Path("scripts/run_multifold_v2.py")
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REBUILD_SCRIPT = Path("scripts/rebuild_run_best_plots.py")
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PLOT_HEADS = ["fused", "image", "metadata"]
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USE_HOLDOUT_BEST_FOR_PLOTS = True
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OVERWRITE_HOLDOUT_PROBS = True
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ALLOW_EXISTING_RUN_DIR = False
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SAMPLE_MODE = "eye" # eye-level for parity with v1 grid runs
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def _parse_args() -> argparse.Namespace:
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ap = argparse.ArgumentParser(description="Re-run a single grid-search item with V2 loaders.")
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ap.add_argument(
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"--run-number",
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type=str,
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default=None,
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help="Last 4 digits of run_id (e.g., 0063).",
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)
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ap.add_argument(
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"--output-run-id",
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type=str,
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default=None,
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help="Optional output run id; defaults to matched run_id.",
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)
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return ap.parse_args()
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def _read_plan(path: Path) -> List[Dict[str, str]]:
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if not path.exists():
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raise FileNotFoundError(f"Grid plan not found: {path}")
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with path.open(newline="") as fh:
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reader = csv.DictReader(fh)
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return list(reader)
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def _find_row(rows: List[Dict[str, str]], run_id: str) -> Dict[str, str]:
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for row in rows:
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if row.get("run_id") == run_id:
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return row
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raise ValueError(f"run_id not found in grid plan: {run_id}")
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def _resolve_run_id(rows: List[Dict[str, str]], run_number: str | None) -> str:
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if not run_number:
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return RUN_ID
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run_number = str(run_number).strip()
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if run_number.isdigit():
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run_number = run_number.zfill(4)
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matches = [
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r.get("run_id", "")
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for r in rows
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if str(r.get("run_id", "")).endswith(f"-{run_number}")
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]
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if len(matches) == 1:
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return matches[0]
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if len(matches) > 1:
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raise ValueError(
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f"Multiple run_ids matched run-number '{run_number}': {matches[:5]}{' ...' if len(matches) > 5 else ''}"
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)
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raise ValueError(f"No run_id found ending with '-{run_number}'")
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def _build_run_command(row: Dict[str, str], output_run_id: str) -> List[str]:
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cmd = [
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sys.executable,
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str(RUN_SCRIPT),
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"--backbone",
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"resnet50",
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"--fusion-mode",
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"fused",
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"--epochs",
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"40",
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"--batch-size",
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"8",
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"--img-crop-manifest",
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str(MANIFEST),
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"--img-crop-weights",
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row["crop_weights"],
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"--img-crop-normalize",
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row["crop_normalize"],
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"--eval_mode",
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row["eval_mode"],
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"--holdout-per-class",
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"12",
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"--run-id",
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output_run_id,
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"--shortname",
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SHORTNAME,
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"--sample-mode",
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SAMPLE_MODE,
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]
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if row.get("crop_tta") == "True":
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cmd.append("--img-crop-tta")
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loss_mode = row.get("loss_mode")
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if loss_mode == "focal":
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cmd.extend(["--focal-gamma", "2.0"])
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elif loss_mode == "balanced":
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cmd.append("--balanced-sampler")
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thaw_mode = row.get("thaw_mode")
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if thaw_mode == "gradual":
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cmd.append("--gradual-thaw")
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cmd.extend(["--thaw-ratio", "0.33"])
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cmd.extend(["--thaw-start-epoch", "10"])
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cmd.extend(["--thaw-target", "image"])
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se_mode = row.get("se_mode")
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if se_mode == "none":
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cmd.append("--no-se")
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else:
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cmd.extend(["--se-reduction", "16"])
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cmd.extend(["--se-reduction-tower", "16"])
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cmd.extend(["--se-where", se_mode])
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bridge_pre = row.get("se_bridge_pre_norm")
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tower_pre = row.get("se_tower_pre_norm")
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if bridge_pre == "True":
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cmd.append("--se-pre-norm")
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elif bridge_pre == "False":
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cmd.append("--no-se-pre-norm")
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if tower_pre == "True":
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cmd.append("--se-pre-norm-tower")
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elif tower_pre == "False":
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cmd.append("--no-se-pre-norm-tower")
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return cmd
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def _swap_in_holdout_best(models_dir: Path) -> None:
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for fold_dir in sorted(models_dir.glob("fold*")):
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if not fold_dir.is_dir():
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continue
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holdout_best = fold_dir / "model_holdout_best.pt"
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model_best = fold_dir / "model_best.pt"
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if not holdout_best.exists():
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print(f"[warn] {holdout_best} missing; skipping.")
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continue
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if model_best.exists():
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backup = fold_dir / "model_best_from_train.pt"
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if not backup.exists():
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try:
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shutil.copy2(model_best, backup)
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except Exception:
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pass
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try:
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shutil.copy2(holdout_best, model_best)
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except Exception as exc:
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print(f"[warn] failed to replace {model_best}: {exc}")
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def _run_rebuild(run_dir: Path) -> None:
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for head in PLOT_HEADS:
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cmd = [
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sys.executable,
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str(REBUILD_SCRIPT),
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"--run-dir",
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str(run_dir),
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"--head",
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head,
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"--use-holdout",
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]
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if OVERWRITE_HOLDOUT_PROBS:
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cmd.append("--overwrite")
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print("[rerun] Rebuilding holdout ROC plots:", " ".join(cmd))
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subprocess.run(cmd, check=True)
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def main() -> None:
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args = _parse_args()
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rows = _read_plan(GRID_PLAN)
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run_id = _resolve_run_id(rows, args.run_number)
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row = _find_row(rows, run_id)
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output_run_id = args.output_run_id or run_id
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run_dir = Path("analysis_data") / SHORTNAME / output_run_id
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if run_dir.exists() and not ALLOW_EXISTING_RUN_DIR:
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raise SystemExit(
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f"Run directory already exists: {run_dir} (set ALLOW_EXISTING_RUN_DIR=True to reuse)"
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)
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cmd = _build_run_command(row, output_run_id=output_run_id)
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print("[rerun] Launching:", " ".join(cmd))
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subprocess.run(cmd, check=True)
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models_dir = Path("models") / SHORTNAME / output_run_id
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if USE_HOLDOUT_BEST_FOR_PLOTS:
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print("[rerun] Swapping in holdout-best checkpoints for plotting.")
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_swap_in_holdout_best(models_dir)
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_run_rebuild(run_dir)
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print(f"[rerun] Done. Outputs in {run_dir}")
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if __name__ == "__main__":
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main()
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