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Python wrapper around SVDLIBC, a fast library for sparse Singular Value Decomposition

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Hello! I was wondering about the following behaviour, which made one of my tests break in a recent sparsesvd update. ``` >>> C = numpy.array([[ 0. , 0.7, 0. ,...

A potential fix to this problem is here: https://stackoverflow.com/questions/2379898/make-distutils-look-for-numpy-header-files-in-the-correct-place/42163080#42163080

This is mostly a peer review request :) Please have a look to the changes. Since cython is not used it gives potential support on every Python implementation that is...

Sparsesvd somehow gives a random solution to an svd of an identity matrix. Is there a reason for this?