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PyWENO ====== PyWENO is a Python module for computing high-order Weighted Essentially Non-oscillatory (WENO) reconstructions of cell-averaged data arrays. The basic interface provides a simple routine to compute 1D reconstructions at various points within each grid cell. The points at which the basic interface can reconstruct the original function at include: left edge, right edge, Gauss-Legendre quadrature points, Gauss-Lobatto quadrature points, and Guass-Radau quadrature points. PyWENO can also be used as a code generator to build custom WENO reconstructors in C, Fortran, and OpenCL on uniform grids. Please see http://readthedocs.org/docs/pyweno/en/latest/ for more information. Important links --------------- * Official project page: https://github.com/memmett/PyWENO * Documentation: http://readthedocs.org/docs/pyweno/en/latest/ Prerequisites ------------- To install PyWENO, you need: * NumPy * SymPy (optional if you avoid pyweno.symbolic) Testing ------- To build PyWENO and create symlinks to the extension modules: $ python setup.py build $ cd pyweno $ for so in ../build/lib*/pyweno/*.so; do ln -s $so; done Now, nosetests should work: $ nosetests License ------- Please see LICENSE for copyright information. Contributors ------------ * Matthew Emmett * Michael Welter * Ben Thompson