lab


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Version 8.4 PyPI version JSON
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home_pagehttps://github.com/aibasel/lab
SummaryBenchmark your code
upload_time2025-02-11 13:16:49
maintainerNone
docs_urlNone
authorJendrik Seipp
requires_python>=3.8
licenseGPL3+
keywords benchmarks cluster grid
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            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 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.

            

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