Metadata-Version: 1.0
Name: datalad_revolution
Version: 0.10.0
Summary: Revolutionary DataLad extension package
Home-page: UNKNOWN
Author: The DataLad Team and Contributors
Author-email: team@datalad.org
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: Revolutionary DataLad extension
        ===============================
        
        `Travis tests
        status <https://travis-ci.org/datalad/datalad-revolution>`__ `Build
        status <https://ci.appveyor.com/project/mih/datalad-revolution>`__
        `codecov.io <https://codecov.io/github/datalad/datalad-revolution?branch=master>`__
        `GitHub
        release <https://GitHub.com/datalad/datalad-revolution/releases/>`__
        `PyPI version
        fury.io <https://pypi.python.org/pypi/datalad-revolution/>`__
        `Documentation <http://docs.datalad.org/projects/revolution>`__
        
        This software is a `DataLad <http://datalad.org>`__ extension that
        equips DataLad with alternative and additional core commands that are
        leaner and written specifically with enhanced cross-platform
        compatibility and speed in mind. Please see the `extension
        documentation <http://docs.datalad.org/projects/revolution>`__ for a
        description on additional commands and functionality.
        
        **Note:** There is *no support* for `git-annex direct mode
        repositories <https://git-annex.branchable.com/direct_mode>`__. Users
        that previously relied on this mode, and Windows users in particular,
        are recommended to use `git-annex V7
        mode <https://git-annex.branchable.com/upgrades>`__. DataLad can be
        instructed to always use this mode by running:
        
        ::
        
           git config --global --add datalad.repo.version 6
        
        Command(s) currently provided by this extension
        
        -  ``rev-extract-metadata`` – new and improved dedicated command to run
           any and all of DataLad’s metadata extractors. Much improved versions
           of the core extractor implementations also ship with this extension.
        -  ``rev-aggregate-metadata`` – complete reimplementation of metadata
           aggregation, with stellar performance benefits, in particular on
           large dataset hierarchies.
        -  ``query-metadata`` – new command to specifically access the
           aggregated metadata present in a dataset, much faster and more
           predictable behavior than the ``metadata`` command in datalad-core.
        
        Installation
        ------------
        
        Before you install this package, please make sure that you `install a
        recent version of
        git-annex <https://git-annex.branchable.com/install>`__. Afterwards,
        install the latest version of ``datalad-revolution`` from
        `PyPi <https://pypi.org/project/datalad-revolution>`__. It is
        recommended to use a dedicated
        `virtualenv <https://virtualenv.pypa.io>`__:
        
        ::
        
           # create and enter a new virtual environment (optional)
           virtualenv --system-site-packages --python=python3 ~/env/datalad
           . ~/env/datalad/bin/activate
        
           # install from PyPi
           pip install datalad_revolution
        
        Support
        -------
        
        For general information on how to use or contribute to DataLad (and this
        extension), please see the `DataLad website <http://datalad.org>`__ or
        the `main GitHub project page <http://datalad.org>`__. The documentation
        is found here: http://docs.datalad.org/projects/revolution
        
        All bugs, concerns and enhancement requests for this software can be
        submitted here: https://github.com/datalad/datalad-revolution/issues
        
        If you have a problem or would like to ask a question about how to use
        DataLad, please `submit a question to
        NeuroStars.org <https://neurostars.org/tags/datalad>`__ with a
        ``datalad`` tag. NeuroStars.org is a platform similar to StackOverflow
        but dedicated to neuroinformatics.
        
        All previous DataLad questions are available here:
        http://neurostars.org/tags/datalad/
        
        Acknowledgements
        ----------------
        
        DataLad development is supported by a US-German collaboration in
        computational neuroscience (CRCNS) project “DataGit: converging
        catalogues, warehouses, and deployment logistics into a federated ‘data
        distribution’” (Halchenko/Hanke), co-funded by the US National Science
        Foundation (NSF 1429999) and the German Federal Ministry of Education
        and Research (BMBF 01GQ1411). Additional support is provided by the
        German federal state of Saxony-Anhalt and the European Regional
        Development Fund (ERDF), Project: Center for Behavioral Brain Sciences,
        Imaging Platform. This work is further facilitated by the ReproNim
        project (NIH 1P41EB019936-01A1).
        
Platform: UNKNOWN
