added better memory caching, multithreaded processing, cleanup scripts dir
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#!/usr/bin/env python3
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"""Thin CLI wrapper that runs V2 hypertower modes sequentially."""
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from __future__ import annotations
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from pathlib import Path
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import sys
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import argparse
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REPO_ROOT = Path(__file__).resolve().parents[2]
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if str(REPO_ROOT) not in sys.path:
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sys.path.insert(0, str(REPO_ROOT))
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from classes.v2.v2_hypertower import V2HyperTower
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def parse_args():
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ap = argparse.ArgumentParser(
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description="Run selected eval/tower mode combinations sequentially."
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)
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ap.add_argument(
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"--eval-modes",
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nargs="+",
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choices=["binary", "multiclass"],
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default=["binary", "multiclass"],
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)
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ap.add_argument(
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"--tower-modes",
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nargs="+",
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choices=["single", "ensemble", "bilateral", "classic"],
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default=["single", "ensemble", "bilateral"],
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)
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return ap.parse_known_args()
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def main():
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seq_args, remaining = parse_args()
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base_parser = V2HyperTower.build_parser()
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first_run = True
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for eval_mode in seq_args.eval_modes:
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for tower_mode in seq_args.tower_modes:
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tower_mode = "single" if tower_mode == "classic" else tower_mode
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cli = list(remaining) + ["--eval-mode", eval_mode, "--tower-mode", tower_mode]
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# Clear cache only on the first run; reuse it for all subsequent runs.
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if not first_run:
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cli.append("--persist-img-crop-cache")
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args = base_parser.parse_args(cli)
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# Skip if this mode is already fully complete.
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if args.run_name:
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tm_dir = Path(args.output_root) / args.run_name / eval_mode / tower_mode
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if (tm_dir / "summary.json").exists():
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print(f"[compare] {eval_mode}:{tower_mode} already complete — skipping.")
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first_run = False # treat as done so cache is preserved for later runs
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continue
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V2HyperTower(args).run()
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first_run = False
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if __name__ == "__main__":
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main()
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