Datasets:
Download build/build.sh from Program-Lab/ProgramLab: direct link, hf CLI and curl.
- Browser
- Download file 870 Bytes
-
https://huggingface.co/datasets/Program-Lab/ProgramLab/resolve/main/build/build.sh
- Command line
-
hf download hf://datasets/Program-Lab/ProgramLab/build/build.sh
-
curl -L -o build.sh https://huggingface.co/datasets/Program-Lab/ProgramLab/resolve/main/build/build.sh
870 Bytes
| # Rebuild the cleanroom images locally instead of pulling them; then run setup.sh, which skips images already present. | |
| # Usage: bash build/build.sh [REGEX] (J=8 parallel builds) | |
| set -euo pipefail | |
| ROOT=$(cd "$(dirname "$0")" && pwd) | |
| docker load -q -i "$ROOT/base.v6.tar.gz" | |
| ls "$ROOT/contexts" | grep -E "${1:-.}" | xargs -P "${J:-8}" -I% bash -euc ' | |
| iid=$(basename "$1" .tar.gz); d=$(mktemp -d -p "$0") | |
| trap "rm -rf $d" EXIT | |
| read -r gold_sha gold_blob < <(python3 "$0/verify_context.py" "$0/isolation_manifest.json" "$iid" "$0/contexts/$1" "$d") | |
| image="ghcr.io/programlab-agent/${iid//__/_1776_}:task_cleanroom_v6" | |
| docker build -q --network host -t "$image" "$d" >/dev/null | |
| docker run --rm --network none --user 1000:1000 -v "$0/probe.py:/probe.py:ro" "$image" python3 /probe.py "$gold_sha" "$gold_blob" | |
| echo "built $iid" | |
| ' "$ROOT" % | |