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    "info": {
        "author": "Max Linke",
        "author_email": "max.linke88@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v2 (GPLv2)",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "==============================================\n  PMDA - Parallel Molecular Dynamics Analysis\n==============================================\n\n|build| |cov| |PRwelcome| |zenodo| |conda|\n\nReady to use analysis and buildings blocks to write parallel analysis algorithms\nusing MDAnalysis_ with dask_.\n\n.. warning::\n   This project is **alpha software** and not API stable. It will and\n   should rapidly evolve to test different approaches to implementing\n   parallel analysis in a seamless and intuitive fashion.\n\n\nFor example, run a rmsd analysis on all available cores:\n\n.. code:: python\n\n   import MDAnalysis as mda\n   from pmda import rms\n\n   u = mda.Universe(top, traj)\n   ref = mda.Universe(top, traj)\n\n   rmsd_ana = rms.RMSD(u.atoms, ref.atoms).run(n_jobs=-1)\n\n   print(rmsd_ana.rmsd)\n\n\nBy default PMDA use the multiprocessing scheduler of dask_. This is sufficient\nif you want to run your simulation on a single machine. If your analysis takes\na very long time (>30 min) you can also spread it to several nodes using the\ndistributed_ scheduler. To do this you can pass a ``scheduler`` keyword\nargument to the ``run`` method.\n\nTo write your own parallel algorithms you can subclass the\n``pmda.parallel.ParallelAnalysisBase`` class.\n\n\nLicense and source code\n=======================\n\nPMDA is released under the `GNU General Public License, version 2`_ (see the\nfiles AUTHORS and LICENSE for details).\n\nSource code is available in the public GitHub repository\nhttps://github.com/MDAnalysis/pmda/.\n\n\nInstallation\n============\n\nInstall a release with ``pip``\n------------------------------\n\nThe latest release is available from https://pypi.org/project/pmda/\nand can be installed with pip_\n\n.. code-block:: sh\n\n   pip install --upgrade pmda\n\n\n\nDevelopment version from source\n-------------------------------\n\nTo install the latest development version from source, run\n\n.. code-block:: sh\n\n  git clone git@github.com:MDAnalysis/pmda.git\n  cd pmda\n  python setup.py install\n\n\nGetting help\n============\n\n*Help* is also available through the *MDAnalysis mailing list*\n\n     https://groups.google.com/group/mdnalysis-discussion\n\nPlease report *bugs and feature requests* for PMDA through the `Issue\nTracker`_.\n\n\n\nContributing\n============\n\nPMDA welcomes new contributions. Please drop by the `MDAnalysis developer\nmailing list`_ to discuss and ask questions.\n\nTo contribute code, submit a *pull request* against the master branch in the\n`PMDA repository`_.\n\n\nCitation\n========\n\nIf you use PMDA in published work please cite [Fan2019]_.\n\n.. [Fan2019] Shujie Fan, Max Linke, Ioannis Paraskevakos, Richard J. Gowers,\n\t     Michael Gecht, and Oliver Beckstein. PMDA --- Parallel Molecular Dynamics\n\t     Analysis. In Chris Calloway, David Lippa, Dillon Niederhut, and David Shupe,\n\t     editors, Proceedings of the 18th Python in Science Conference,\n\t     pages 134-142, Austin, TX, 2019.\n\t     doi: `10.25080/Majora-7ddc1dd1-013`_\t     \n\n.. _MDAnalysis: https://www.mdanalysis.org\n.. _dask: https://dask.pydata.org/en/latest/\n.. _distributed: https://distributed.readthedocs.io/\n.. _`Issue tracker`: https://github.com/MDAnalysis/pmda/issues\n.. _`PMDA repository`: https://github.com/MDAnalysis/pmda/\n.. _pip: https://pip.pypa.io/en/stable/\n.. _`GNU General Public License, version 2`:\n   https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html\n.. _`MDAnalysis developer mailing list`:\n   https://groups.google.com/group/mdnalysis-devel\n.. _`10.25080/Majora-7ddc1dd1-013`:\n   https://doi.org/10.25080/Majora-7ddc1dd1-013\n\n.. |build| image:: https://travis-ci.org/MDAnalysis/pmda.svg?branch=master\n    :alt: Build Status\n    :target: https://travis-ci.org/MDAnalysis/pmda\n\n.. |cov| image:: https://codecov.io/gh/MDAnalysis/pmda/branch/master/graph/badge.svg\n   :alt: Coverage\n   :target: https://codecov.io/gh/MDAnalysis/pmda\n\n.. |zenodo| image:: https://zenodo.org/badge/106346721.svg\n   :alt: DOI\n   :target: https://zenodo.org/badge/latestdoi/106346721\n\n.. |conda| image:: https://anaconda.org/conda-forge/pmda/badges/version.svg\n   :alt: conda release\n   :target: https://anaconda.org/conda-forge/pmda\n\n.. |PRwelcome| image:: https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square\n   :alt: PRs welcome\n   :target: http://makeapullrequest.com\n\n\n",
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        "name": "pmda",
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            "Issue Tracker": "https://github.com/MDAnalysis/pmda/issues/",
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