-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA512 Format: 1.8 Date: Fri, 25 Oct 2024 10:40:00 +0200 Source: suitesparse Binary: libamd3 libamd3-dbgsym libbtf2 libbtf2-dbgsym libcamd3 libcamd3-dbgsym libccolamd3 libccolamd3-dbgsym libcholmod5 libcholmod5-dbgsym libcolamd3 libcolamd3-dbgsym libcxsparse4 libcxsparse4-dbgsym libklu2 libklu2-dbgsym libldl3 libldl3-dbgsym libparu1 libparu1-dbgsym librbio4 librbio4-dbgsym libspex3 libspex3-dbgsym libspqr4 libspqr4-dbgsym libsuitesparse-dev libsuitesparse-doc libsuitesparse-mongoose3 libsuitesparse-mongoose3-dbgsym libsuitesparseconfig7 libsuitesparseconfig7-dbgsym libumfpack6 libumfpack6-dbgsym mongoose python3-spexpy suitesparse-mongoose suitesparse-mongoose-dbgsym Architecture: source amd64 all Version: 1:7.8.3+dfsg-1 Distribution: unstable Urgency: medium Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> Changed-By: Sébastien Villemot <sebastien@debian.org> Description: libamd3 - approximate minimum degree ordering library for sparse matrices libbtf2 - permutation to block triangular form library for sparse matrices libcamd3 - symmetric approximate minimum degree library for sparse matrices libccolamd3 - constrained column approximate library for sparse matrices libcholmod5 - sparse Cholesky factorization library for sparse matrices libcolamd3 - column approximate minimum degree ordering library for sparse mat libcxsparse4 - concise sparse matrix library libklu2 - circuit simulation sparse LU factorization library libldl3 - simple LDL' factorization library for sparse matrices libparu1 - unsymmetric multifrontal multithreaded sparse LU factorization librbio4 - read/write sparse matrices in Rutherford/Boeing format libspex3 - solves sparse linear systems in exact arithmetic libspqr4 - sparse QR factorization library libsuitesparse-dev - libraries for sparse matrices computations (development files) libsuitesparse-doc - libraries for sparse matrices computations (documentation) libsuitesparse-mongoose3 - graph partitioning tool that can quickly compute edge cuts (share libsuitesparseconfig7 - configuration routines for all SuiteSparse modules libumfpack6 - sparse LU factorization library mongoose - transitional dummy package for suitesparse-mongoose python3-spexpy - Python interface for SPEX suitesparse-mongoose - graph partitioning tool that can quickly compute edge cuts (execu Changes: suitesparse (1:7.8.3+dfsg-1) unstable; urgency=medium . * New upstream version 7.8.3+dfsg * SOVERSION bump of libparu (0 → 1) * Enforce Generic BLAS vendor through CMake flag. Ensures that it will not wrongly think that this is MKL (because then ParU will be built with calls to MKL symbols). Also note that ParU thus built will not able to dynamically control the number of threads used by OpenBLAS (when the latter is used at runtime), because that would require OpenBLAS to be specified at build time. 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