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Name: python3-scikit-sparse | Distribution: SUSE Linux Enterprise 15 SP3 |
Version: 0.4.4 | Vendor: openSUSE |
Release: bp153.1.19 | Build date: Sun Mar 7 02:16:27 2021 |
Group: Development/Languages/Python | Build host: obs-arm-9 |
Size: 665229 | Source RPM: python-scikit-sparse-0.4.4-bp153.1.19.src.rpm |
Packager: https://bugs.opensuse.org | |
Url: https://github.com/scikit-sparse/scikit-sparse/ | |
Summary: Scikits sparse matrix package |
Sparse matrix tools. This is a sparse matrix code in Python that plays well with scipy.sparse, but that is somehow unsuitable for inclusion in scipy proper. There is a wrapper for the CHOLMOD library for sparse Cholesky decomposition.
GPL-2.0-or-later AND LGPL-2.1-or-later
* Wed Nov 07 2018 mcepl@suse.com - Update to 0.4.4: * Bug in solve with dense array, where base of result is not set correctly, fixed. * Supported versions updated to: - Python: 3.7, 3.6 - NumPy: 1.15, 1.14, 1.13 - SciPy: 1.1, 1.0, 0.19 - SuiteSparse: 5.2 * Wed Aug 08 2018 jengelh@inai.de - Trim irrelevant parts from description. * Thu May 24 2018 toddrme2178@gmail.com - Add license file - spec file cleanups * Thu Apr 19 2018 toddrme2178@gmail.com - Update to version 0.4.3 * The method solve_L can now also use the L matrix of the LL' decomposition. * Supported versions updated to Python 3.6, 3.5 and 2.7, NumPy 1.14 and 1.13 and SciPy 1.0 and 0.19. * Thu May 25 2017 toddrme2178@gmail.com - Initial version
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