Download libs/benchmark/cleanup.py from QPromaQ/Docking_project: direct link, hf CLI and curl.
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- Download file 1.6 kB
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https://huggingface.co/datasets/QPromaQ/Docking_project/resolve/main/libs/benchmark/cleanup.py
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hf download hf://datasets/QPromaQ/Docking_project/libs/benchmark/cleanup.py
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curl -L -o cleanup.py https://huggingface.co/datasets/QPromaQ/Docking_project/resolve/main/libs/benchmark/cleanup.py
1.6 kB
| from __future__ import annotations | |
| import shutil | |
| from dataclasses import dataclass | |
| from datetime import UTC, datetime | |
| from pathlib import Path | |
| from typing import Iterable, List | |
| class CleanupItem: | |
| path: Path | |
| action: str | |
| reason: str | |
| def plan_results_cleanup( | |
| results_dir: Path, | |
| *, | |
| keep_dirs: Iterable[str] = ( | |
| "large_benchmark", | |
| "discovery_benchmark", | |
| "ppi_benchmark", | |
| "ppi_sanity_check", | |
| "experimental_benchmark_single_library", | |
| "smoke_test", | |
| ), | |
| ) -> List[CleanupItem]: | |
| keep = {str(x).strip() for x in keep_dirs} | |
| items: List[CleanupItem] = [] | |
| if not results_dir.exists(): | |
| return items | |
| for child in sorted(results_dir.iterdir()): | |
| if not child.is_dir(): | |
| continue | |
| if child.name in keep or child.name == "archive": | |
| continue | |
| items.append( | |
| CleanupItem( | |
| path=child, | |
| action="archive", | |
| reason="obsolete_or_legacy_result_artifact", | |
| ) | |
| ) | |
| return items | |
| def execute_results_cleanup(results_dir: Path, plan: List[CleanupItem]) -> Path: | |
| archive_root = results_dir / "archive" / datetime.now(UTC).strftime("%Y%m%dT%H%M%SZ") | |
| archive_root.mkdir(parents=True, exist_ok=True) | |
| for item in plan: | |
| if item.action != "archive" or not item.path.exists(): | |
| continue | |
| target = archive_root / item.path.name | |
| if target.exists(): | |
| shutil.rmtree(target) | |
| shutil.move(str(item.path), str(target)) | |
| return archive_root | |