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        "description": ".. figure:: https://raw.githubusercontent.com/riga/order/master/logo240.png\n   :target: https://github.com/riga/order\n   :align: center\n   :alt: order logo\n\n\n.. marker-after-logo\n\n\n.. image:: https://github.com/riga/order/actions/workflows/lint_and_test.yml/badge.svg\n   :target: https://github.com/riga/order/actions/workflows/lint_and_test.yml\n   :alt: Lint and test\n\n.. image:: https://readthedocs.org/projects/python-order/badge/?version=latest\n   :target: http://python-order.readthedocs.io/en/latest\n   :alt: Documentation status\n\n.. image:: https://img.shields.io/pypi/v/order.svg?style=flat\n   :target: https://pypi.python.org/pypi/order\n   :alt: Package version\n\n.. image:: https://img.shields.io/github/license/riga/order.svg\n   :target: https://github.com/riga/order/blob/master/LICENSE\n   :alt: License\n\n.. image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/riga/order/master?filepath=examples%2Fintro.ipynb\n   :alt: Open in binder\n\n\nIf you're designing a high-energy physics analysis (e.g. with data recorded by an `LHC <https://home.cern/topics/large-hadron-collider>`__ experiment at `CERN <http://home.cern>`__), manual bookkeeping of external data can get complicated quite fast. *order* provides a pythonic class collection that helps you structuring\n\n- analyses,\n- MC campaigns,\n- datasets,\n- physics process and cross sections,\n- channels,\n- categories,\n- variables, and\n- systematic shifts.\n\n\n.. marker-after-header\n\n\nGetting started\n---------------\n\nSee the `intro.ipynb <https://github.com/riga/order/blob/master/examples/intro.ipynb>`__ notebook for an introduction to the most important classes and an example setup of a small analysis. You can also run the notebook interactively on binder:\n\n|binder|\n\nYou can find the full `API documentation on readthedocs <http://python-order.readthedocs.io>`__.\n\n\n.. marker-after-getting-started\n\n\nInstallation and dependencies\n-----------------------------\n\nInstall *order* via `pip <https://pypi.python.org/pypi/order>`__:\n\n.. code-block:: shell\n\n   pip install order\n\nThe only dependencies are `scinum <https://pypi.python.org/pypi/scinum>`__ and `six <https://pypi.python.org/pypi/six>`__, which are installed with the above command.\n\n\nContributing and testing\n------------------------\n\nIf you like to contribute, I'm happy to receive pull requests. Just make sure to add new test cases and run them via:\n\n.. code-block:: shell\n\n   python -m unittest tests\n\nIn general, tests should be run for Python 2.7, 3.6, 3.7 and 3.8. To run tests in a docker container, do\n\n.. code-block:: shell\n\n   # run the tests\n   ./tests/docker.sh python:3.8\n\n   # or interactively by adding a flag \"1\" to the command\n   ./tests/docker.sh python:3.8 1\n   > pip install -r requirements.txt\n   > python -m unittest tests\n\nIn addition, `PEP 8 <https://www.python.org/dev/peps/pep-0008/>`__ compatibility should be checked with `flake8 <https://pypi.org/project/flake8/>`__:\n\n.. code-block:: shell\n\n   flake8 order tests setup.py\n\n\nDevelopment\n-----------\n\n- Source hosted at `GitHub <https://github.com/riga/order>`__\n- Report issues, questions, feature requests on `GitHub Issues <https://github.com/riga/order/issues>`__\n\n\n.. |binder| image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/riga/order/master?filepath=examples%2Fintro.ipynb\n   :alt: Open in binder",
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