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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
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}"
}
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.
FAQs
Benchmark your code
We found that lab demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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