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"description": "SAPPHiRE \u2014 A Framework for HiSPARC\n===================================\n\nIntroduction\n------------\n\n.. image:: https://img.shields.io/pypi/v/hisparc-sapphire.svg\n :target: https://pypi.python.org/pypi/hisparc-sapphire/\n.. image:: https://img.shields.io/badge/license-GPLv3-blue.svg\n :target: https://github.com/HiSPARC/sapphire/blob/master/LICENSE\n.. image:: https://img.shields.io/travis/HiSPARC/sapphire/master.svg\n :target: https://travis-ci.org/HiSPARC/sapphire\n.. image:: https://img.shields.io/coveralls/HiSPARC/sapphire/master.svg?label=coveralls\n :target: https://coveralls.io/r/HiSPARC/sapphire\n.. image:: https://img.shields.io/codecov/c/github/HiSPARC/sapphire/master.svg?label=codecov\n :target: https://codecov.io/github/HiSPARC/sapphire\n\nSAPPHiRE is a Simulation and Analysis Program Package for `HiSPARC\n`_ Research and Education. It was created in the\nprocess of completing the PhD research of David Fokkema. The history of this\nrepository contains the complete simulation, analysis and plot generation code\nthat formed the basis for David's `thesis\n`_.\nArne de Laat took over development of SAPPHiRE while working on his own PhD\nresearch.\n\nThis repository is created with a sole purpose in mind: to enable HiSPARC\nstudents, teachers and researchers to easily gain access to the data and\nperform common simulation and analysis tasks. Historically, starting work\non the data, or extending an existing analysis code, has involved\nelaborate installation instructions, heavy customizations to the software,\ncountless hours going over opaque parts of code and a general feeling of\nanguish and despair. SAPPHiRE's ultimate goal: no more of that.\n\n\nInstallation\n------------\n\nRequired: Python. pip will take care of dependencies, but installing\nnumpy, scipy and pytables from a python distribution is preferred. We use\nminiconda, which includes the conda package manager.\n\nFirst, `install conda `_\nand optionally create a virtualenv::\n\n $ conda create --name hisparc python numpy scipy pytables\n $ source activate hisparc\n\nor alternatively just install the dependencies::\n\n $ conda install numpy scipy pytables sphinx\n\nThen, using pip::\n\n $ pip install hisparc-sapphire\n\nThis should install sapphire with all requirements. More extensive\ninstallation instructions are available in the documentation in the\n``doc/`` directory. You can compile them using Sphinx, or you can\nfollow this link: https://docs.hisparc.nl/sapphire/.\n\nTo check if it worked start Python and load the package:\n\n.. code-block:: python\n\n import sapphire\n\nYou're done!\n\n\nDevelopment\n-----------\n\nInstall python (preferably using conda) as described above but clone\nthe sapphire repo instead of installing using pip::\n\n $ git clone https://github.com/HiSPARC/sapphire.git\n $ cd sapphire\n $ python setup.py develop\n\n\nVersion release\n---------------\n\nImportant: First check if the last commit passes the tests on Travis CI!\n\nTo release a new version modify the version number in ``setup.py``. Then\ncreate a commit for the new release with a title like 'Bump version to vX.Y.Z'\nand a message that contains a summary of the most important changes since the\nlast release. Then tag the commit and push it to GitHub::\n\n $ git tag vX.Y.Z\n $ git push --tags\n\nThen upload the new version to PyPI (this requires the ``wheel`` and ``twine``\npackages)::\n\n $ python setup.py sdist bdist_wheel\n $ twine upload dist/hisparc-sapphire-X.Y.Z.tar.gz\n $ twine upload dist/hisparc_sapphire-X.Y.Z-py2.py3-none-any.whl\n\nThe latest version is then available from PyPI.\n\n\n",
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