#!/usr/bin/env python from __future__ import annotations import argparse import json import sys from pathlib import Path PROJECT_ROOT = Path(__file__).resolve().parents[1] if str(PROJECT_ROOT) not in sys.path: sys.path.insert(0, str(PROJECT_ROOT)) from dovla_cil.generation.tangent_memory import ( # noqa: E402 evaluate_tangent_memory_generator, load_tangent_targets, ) def main(argv: list[str] | None = None) -> int: parser = argparse.ArgumentParser( description=( "Evaluate a train-only positive-tangent memory generator against heldout " "same-state positive tangent support." ) ) parser.add_argument("--targets", type=Path, required=True) parser.add_argument("--out", type=Path, required=True) parser.add_argument("--k-values", default="1,2,4,8,16") parser.add_argument("--thresholds", default="0.05,0.1,0.2,0.4") parser.add_argument("--val-fraction", type=float, default=0.2) parser.add_argument("--seed", type=int, default=0) parser.add_argument("--diversity-weight", type=float, default=0.25) parser.add_argument("--no-groups", action="store_true", help="Drop per-group rows from output.") args = parser.parse_args(argv) try: k_values = _parse_ints(args.k_values) thresholds = _parse_floats(args.thresholds) except ValueError as exc: parser.error(str(exc)) examples = load_tangent_targets(args.targets) report = evaluate_tangent_memory_generator( examples, k_values=k_values, thresholds=thresholds, val_fraction=args.val_fraction, seed=args.seed, diversity_weight=args.diversity_weight, ) report["targets"] = str(args.targets) if args.no_groups: report.pop("groups", None) args.out.parent.mkdir(parents=True, exist_ok=True) args.out.write_text(json.dumps(report, indent=2) + "\n") summary = { key: value for key, value in report.items() if key not in {"groups"} } print(json.dumps(summary, indent=2)) print(f"Wrote {args.out}") return 0 def _parse_ints(value: str) -> tuple[int, ...]: items = tuple(int(item.strip()) for item in value.split(",") if item.strip()) if not items or any(item <= 0 for item in items): raise ValueError("integer list must contain positive values") return items def _parse_floats(value: str) -> tuple[float, ...]: items = tuple(float(item.strip()) for item in value.split(",") if item.strip()) if not items or any(item < 0 for item in items): raise ValueError("float list must contain non-negative values") return items if __name__ == "__main__": raise SystemExit(main())