Deep-MI / LaPy

Toolbox for Differential Geometry on Triangle and Tetrahedra Meshes (FEM, Laplace, Poisson, Heat Flow ...)
MIT License
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Numpy >2 not supportet in scikit-sparse #67

Open m-reuter opened 1 month ago

m-reuter commented 1 month ago

Our optional dependency scikit-sparse does not yet support numpy 2. This means that anyone who wants to use the more efficient CHOLMOD for Cholesky decomposition instead of LU will have to install numpy 1* for now. Also Conda installs will not work with numpy 2 as our conda package builds with scikit-sparse.

For numpy 2 integration into scikit-sparse see: See https://github.com/scikit-sparse/scikit-sparse/pull/122