Source: python-parsl Maintainer: Debian Python Team Uploaders: Étienne Mollier Section: python Testsuite: autopkgtest-pkg-pybuild Priority: optional Build-Depends: debhelper-compat (= 13), dh-sequence-python3, dh-sequence-sphinxdoc, pybuild-plugin-pyproject, python3-all, python3-setuptools, help2man , python3-filelock , python3-flask , python3-flask-sqlalchemy , mypy , mpich , python3-dill , python3-globus-sdk , python3-mypy , python3-mypy-extensions , python3-nbsphinx , python3-pandas , python3-paramiko , python3-psutil , python3-pytest , python3-pytest-random-order , python3-requests , python3-setproctitle , python3-sphinx-rtd-theme , python3-sqlalchemy , python3-typeguard , python3-typing-extensions , python3-typing-inspect , python3-typeshed , python3-tblib , python3-zmq , twine Standards-Version: 4.7.0 Homepage: https://github.com/Parsl/parsl Vcs-Git: https://salsa.debian.org/python-team/packages/python-parsl.git Vcs-Browser: https://salsa.debian.org/python-team/packages/python-parsl.git Rules-Requires-Root: no Package: python3-parsl Architecture: all Depends: ${misc:Depends}, ${python3:Depends}, libjs-bootstrap, libjs-jquery, libjs-popper.js, node-fortawesome-fontawesome-free, python3-flask, python3-flask-sqlalchemy # Provider for plotly-latest.min.js; not ideal but better than nothing. # FIXME: a package with standalone plotly-latest.min.js would be nice. Recommends: r-cran-plotly Description: Parallel Scripting Library for Python Parsl extends parallelism in Python beyond a single computer. . One can use Parsl just like Python's parallel executors but across multiple cores and nodes. However, the real power of Parsl is in expressing multi-step workflows of functions. Parsl lets one chain functions together and will launch each function as inputs and computing resources are available. Package: python-parsl-doc Architecture: all Depends: ${misc:Depends}, ${sphinxdoc:Depends}, python3-parsl, libjs-requirejs Section: doc Description: Parallel Scripting Library for Python - documentation Parsl extends parallelism in Python beyond a single computer. . One can use Parsl just like Python's parallel executors but across multiple cores and nodes. However, the real power of Parsl is in expressing multi-step workflows of functions. Parsl lets one chain functions together and will launch each function as inputs and computing resources are available. . This package provides a locally readable Parsl documentation.