Hi, Here is an ebuild I put together for pysparse. I have personally used pysparse to compute eigenvectors of 10**6 * 10**6 matrices on my laptop. Apart from the hard dependecy on dev-python/numeric, pysparse also has optional dependencies on various math libraries like BLAS, ATLAS and LAPACK, but I am not sure how to express that in the ebuild. This is my first ebuild so please bear with me. Below is a blurb from the pysparse homepage (I am not its author). regards Daniel ******************************************************************************* PySparse extends the Python interpreter by a set of sparse matrix types holding double precision values. PySparse also includes modules that implement * iterative methods for solving linear systems of equations * a set of standard preconditioners * an interface to a direct solver for sparse linear systems of equations (SuperLU) * a Jacobi-Davidson eigenvalue solver for the symmetric, generalised matrix eigenvalue problem (JDSYM) All these modules are implemented as C extension modules for maximum performance. PySparse uses Numerical Python (NumPy) for handling dense vectors and matrices and makes use of SuperLU for factorising sparse matrices.
Created attachment 52989 [details] ebuild for pysparse-0.34.030
*** This bug has been marked as a duplicate of 36158 ***
