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        "author": "Thomas Schatz, Mathieu Bernard, Roland Thiolliere",
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        "description": ".. image:: https://readthedocs.org/projects/h5features/badge/?version=master\n   :target: http://h5features.readthedocs.org\n   :alt: Documentation status\n\n.. image:: https://travis-ci.org/bootphon/h5features.svg?branch=master\n    :target: https://travis-ci.org/bootphon/h5features\n    :alt: Tests status\n\n.. image:: https://codecov.io/gh/bootphon/h5features/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/bootphon/h5features\n    :alt: Coverage status\n\n\n==========\nh5features\n==========\n\nThe h5features **python package** provides easy to use and efficient\nstorage of **large features data** on the HDF5 binary file format.\n\n\nInstallation\n------------\n\n* **dependancies**\n\n  The package depends on *numpy*, *scipy* and *h5py*. They can be\n  automatically installed by the setup script but it takes a long time\n  (full compilation). You may want to install the dependancies through\n  your system package manager.\n\n  On Debian/Ubuntu::\n\n    sudo apt-get install python3-numpy python3-scipy python3-h5py\n\n  Using Python anaconda::\n\n    conda install numpy scipy h5py\n\n* **h5features**\n\n  Install it from the sources with::\n\n    python setup.py build && python setup.py install\n\n  Or you can install it with pip::\n\n    pip install h5features\n\n\nDocumentation\n-------------\n\n* See the complete documentation `online\n  <http://h5features.readthedocs.org>`_\n\n* Or build it with::\n\n    pip install Sphinx\n    cd docs && make html\n\n  The home page of the compiled documentation is\n  ``docs/_build/html/index.html``.\n\nTest\n----\n\nThe package comes with a unit-tests suit. To run it, first install *pytest* on your Python environment::\n\n  pip install pytest\n\nThen run the tests with::\n\n  pytest -v ./test\n\n\n",
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