{ "info": { "author": "Ghislain Vaillant", "author_email": "ghisvail@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering", "Topic :: Software Development" ], "description": "=====\nlinop\n=====\n\nThis project provides a standalone set of classes to abstract the creation \nand management of linear operators, to be used as a common basis for the \ndevelopment of advanced mathematical frameworks.\n\nThe code base was originally forked from the `pykrylov project \n`_ developed by Dominique Orban. This \nproject has added missing features such as Python 3 support, a comprehensive \ntest suite, bug fixes and feature enhancements.\n\n\nRequirements\n============\n\n* Python 2 (>=2.6) or 3 (>=3.2)\n* NumPy\n\n\nInstallation\n============\n\nUsing pip / easy_install (recommended)::\n \n pip install linop\n\nFrom the cloned repository or unpacked source distribution::\n\n python setup.py install\n\n\nDocumentation\n=============\n\nThe package documentation can be found `here \n`_. The documentation can be built using \nSphinx. Within the root location of the source directory, run::\n\n python setup.py build_sphinx\n\nThe html documentation will be available in doc/build/html.\n\n\nChangelog\n=========\n\nSee the CHANGES.txt file.\n\n\nThanks to\n=========\n\nA list of contributors to the project is kept updated in the AUTHORS.txt file.\n\n\nContributing\n============\n\nThe code source is released under a permissive license. 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