lab

Lab and Downward Lab

Lab is a Python package for evaluating solvers on benchmark sets. Experiments can run on a single machine or on a computer cluster. The package also contains code for parsing results and creating reports.

The Downward Lab Python package facilitates running experiments for the Fast Downward <http://www.fast-downward.org>_ planning system. It uses the generic experimentation package Lab. Currently, Lab and Downward Lab are distributed together.

Code: https://github.com/aibasel/lab

Documentation: https://lab.readthedocs.io

Cite: please cite Downward Lab by using

::

@Misc{seipp-et-al-zenodo2017,
  author =       "Jendrik Seipp and Florian Pommerening and
                  Silvan Sievers and Malte Helmert",
  title =        "{Downward} {Lab}",
  publisher =    "Zenodo",
  year =         "2017",
  howpublished = "\url{https://doi.org/10.5281/zenodo.790461}"
}

Install Lab

Lab requires Python 3.7+ and Linux (e.g., Ubuntu). We recommend installing Lab in a Python virtual environment <https://docs.python.org/3/tutorial/venv.html>_. This has the advantage that there are no modifications to the system-wide configuration, and that you can create multiple environments with different Lab versions (e.g., for different papers) without conflicts::

# Install required packages, including virtualenv.
sudo apt install python3 python3-venv

# Create a new directory for your experiments.
mkdir experiments-for-my-paper
cd experiments-for-my-paper

# If PYTHONPATH is set, unset it to obtain a clean environment.
unset PYTHONPATH

# Create and activate a Python virtual environment for Lab.
python3 -m venv --prompt my-paper .venv
source .venv/bin/activate

# Install Lab in the virtual environment.
pip install -U pip wheel
pip install lab  # or preferably a specific version with lab==x.y

# Store installed packages and exact versions for reproducibility.
# Ignore pkg-resources package (https://github.com/pypa/pip/issues/4022).
pip freeze | grep -v "pkg-resources" > requirements.txt

Please note that before running an experiment script you need to activate the virtual environment with::

source .venv/bin/activate

We recommend clearing the PYTHONPATH variable before activating the virtual environment.