Index 3056 verified Apptainer images

README.md

@@ -0,0 +1,16 @@
+# Apptainer pool for hamishivi/agent-task-calibforge
+
+This repository hosts tmax-compatible SIF images and a unified download manifest. Training data and task archives are in [hamishivi/agent-task-calibforge](https://huggingface.co/datasets/hamishivi/agent-task-calibforge). The manifest includes earlier images hosted under hamishivi and new images hosted under TMaxxx; the downloader selects the correct repository and immutable commit for each image.
+
+## Apptainer images
+
+The pool currently contains **3,056 / 5,341** verified Apptainer SIF images. Shared environments are stored once. Each published SIF passed `apptainer inspect`, a contained shell smoke check, and remote SHA256 verification. These checks do not constitute a full task evaluation.
+
+Download `apptainer/download_apptainer.py` and run with Python 3.11+ and `huggingface_hub` installed:
+
+```sh
+python download_apptainer.py --repo TMaxxx/agent-task-calibforge --output ./sifs --allow-partial
+export SWERL_APPTAINER_SIF_DIR="$PWD/sifs"
+```
+
+Omit `--allow-partial` to require a complete pool. Filenames follow `tmax-private/geomean_mask` image resolution. Task archives and the training split remain necessary. `apptainer/manifest.jsonl` records source references, SIF checksums, publication commits, and build provenance. Pending images cannot run from this pool yet. Indexes refresh periodically while builds are in progress.

apptainer/download_apptainer.py

@@ -0,0 +1,26 @@
+"""Download a dataset's published SIF pool using tmax-compatible filenames."""
+import argparse,hashlib,json,os
+from concurrent.futures import ThreadPoolExecutor
+from pathlib import Path
+from huggingface_hub import hf_hub_download
+
+def main():
+ p=argparse.ArgumentParser(description=__doc__);p.add_argument('--repo',required=True);p.add_argument('--output',type=Path,required=True);p.add_argument('--allow-partial',action='store_true');p.add_argument('--workers',type=int,default=4);args=p.parse_args()
+ manifest=Path(hf_hub_download(args.repo,'apptainer/manifest.jsonl',repo_type='dataset'))
+ rows=[json.loads(line) for line in manifest.read_text().splitlines()]
+ missing=[r for r in rows if r['status']!='published']
+ if missing and not args.allow_partial:raise SystemExit(f'{len(missing)} images are not yet published. Use --allow-partial to download the available subset.')
+ args.output.mkdir(parents=True,exist_ok=True)
+ def sha(p):
+  with p.open('rb') as f:return hashlib.file_digest(f,'sha256').hexdigest()
+ def download(row):
+  target=args.output/row['sif_name']
+  if target.is_file() and sha(target)==row['sif_sha256']:return
+  staged=Path(hf_hub_download(row.get('hf_repo',row.get('repo',args.repo)),row['hf_path'],repo_type='dataset',revision=row['commit'],local_dir=args.output/'.downloads'))
+  if sha(staged)!=row['sif_sha256']:raise RuntimeError('Checksum mismatch: '+row['hf_path'])
+  os.replace(staged,target)
+  print(target.name,flush=True)
+ with ThreadPoolExecutor(args.workers) as pool:list(pool.map(download,[r for r in rows if r['status']=='published']))
+ print(f'Pool: {args.output.resolve()} ({len(rows)-len(missing)} images available; {len(missing)} pending)')
+ print('Set SWERL_APPTAINER_SIF_DIR to this directory.')
+if __name__=='__main__':main()

apptainer/status.json

@@ -0,0 +1,5 @@
+{
+  "published": 3056,
+  "total": 5341,
+  "covered_tasks": 3137
+}