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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
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        "description": "============\nspecclassify\n============\n\nA Python package for multi- or hyperspectral image classification.\n\n* Free software: GNU General Public License v3\n* **Documentation:** http://geomultisens.gitext.gfz-potsdam.de/specclassify/doc/\n* Submit feedback by filing an issue `here <https://gitext.gfz-potsdam.de/geomultisens/specclassify/issues>`__.\n\n\nStatus\n------\n\n.. image:: https://gitext.gfz-potsdam.de/geomultisens/specclassify/badges/master/build.svg\n        :target: https://gitext.gfz-potsdam.de/geomultisens/specclassify/commits/master\n.. image:: https://gitext.gfz-potsdam.de/geomultisens/specclassify/badges/master/coverage.svg\n        :target: http://geomultisens.gitext.gfz-potsdam.de/specclassify/coverage/\n.. image:: https://img.shields.io/pypi/v/specclassify.svg\n        :target: https://pypi.python.org/pypi/specclassify\n.. image:: https://img.shields.io/pypi/l/specclassify.svg\n        :target: https://gitext.gfz-potsdam.de/geomultisens/specclassify/blob/master/LICENSE\n.. image:: https://img.shields.io/pypi/pyversions/specclassify.svg\n        :target: https://img.shields.io/pypi/pyversions/specclassify.svg\n.. .. image:: https://img.shields.io/travis/danschef/specclassify.svg\n        :target: https://travis-ci.org/danschef/specclassify\n.. .. image:: https://readthedocs.org/projects/specclassify/badge/?version=latest\n        :target: https://specclassify.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n.. .. image:: https://pyup.io/repos/github/danschef/specclassify/shield.svg\n     :target: https://pyup.io/repos/github/danschef/specclassify/\n     :alt: Updates\n\nSee also the latest coverage_ report and the nosetests_ HTML report.\n\n\nFeatures\n--------\n\n* TODO\n\n\nCredits\n-------\n\nThe specclassify package was developed within the context of the GeoMultiSens project funded\nby the German Federal Ministry of Education and Research (project grant code: 01 IS 14 010 A-C)\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n.. _coverage: http://geomultisens.gitext.gfz-potsdam.de/specclassify/coverage/\n.. _nosetests: http://geomultisens.gitext.gfz-potsdam.de/specclassify/nosetests_reports/nosetests.html\n\n\n=======\nHistory\n=======\n\n0.1.0 (2019-08-14)\n------------------\n\n* First release on PyPI.",
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