{ "info": { "author": "Matthew Emmett", "author_email": "matthew@emmett.ca", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: C", "Programming Language :: Fortran", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "PyWENO\n======\n\nPyWENO is a Python module for computing high-order Weighted\nEssentially Non-oscillatory (WENO) reconstructions of cell-averaged\ndata arrays.\n\nThe basic interface provides a simple routine to compute 1D\nreconstructions at various points within each grid cell. The points\nat which the basic interface can reconstruct the original function at\ninclude: left edge, right edge, Gauss-Legendre quadrature points,\nGauss-Lobatto quadrature points, and Guass-Radau quadrature points.\n\nPyWENO can also be used as a code generator to build custom WENO\nreconstructors in C, Fortran, and OpenCL on uniform grids.\n\nPlease see\n\n http://readthedocs.org/docs/pyweno/en/latest/\n\nfor more information.\n\n\nImportant links\n---------------\n\n * Official project page: https://github.com/memmett/PyWENO\n * Documentation: http://readthedocs.org/docs/pyweno/en/latest/\n\n\nPrerequisites\n-------------\n\nTo install PyWENO, you need:\n\n * NumPy\n * SymPy (optional if you avoid pyweno.symbolic)\n\n\nTesting\n-------\n\nTo build PyWENO and create symlinks to the extension modules:\n\n $ python setup.py build\n $ cd pyweno\n $ for so in ../build/lib*/pyweno/*.so; do ln -s $so; done\n\nNow, nosetests should work:\n\n $ nosetests\n\n\nLicense\n-------\n\nPlease see 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