forked from pool/armadillo
Accepting request 321428 from devel:libraries:c_c++
1 OBS-URL: https://build.opensuse.org/request/show/321428 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/armadillo?expand=0&rev=79
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version https://git-lfs.github.com/spec/v1
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oid sha256:70c38fd94b4c0559ece1a7313cf85e08197a82dfda4daa5decd89b795bb73079
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size 5430682
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3
armadillo-5.300.4.tar.gz
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3
armadillo-5.300.4.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ee9943011ed6e2f58fa4dfd5b34b0255890b1135ccbaf672542ed1b6a5ba204
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size 5435471
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-------------------------------------------------------------------
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Fri Aug 7 23:02:46 UTC 2015 - badshah400@gmail.com
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- Update to version 5.300.4:
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+ Undocumented fixes.
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- Changes from Version 5.300.0 (Plutocracy Incorporated):
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+ Added generalised Schur decomposition: qz().
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+ Added .has_inf() and .has_nan().
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+ Expanded interp1() to handle out-of-domain locations.
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+ Expanded sparse matrix class with .set_imag() and .set_real().
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+ Expanded imag(), real() and conj() to handle sparse matrices.
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+ Expanded diagmat(), reshape() and resize() to handle sparse
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matrices.
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+ Faster sparse sum().
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+ Faster row-wise sum(), mean(), min(), max().
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+ Updated physical constants to NIST 2014 CODATA values.
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+ Fixes for handling sparse submatrix views.
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+ Armadillo can make use of GPUs by linking with NVIDIA NVBLAS
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(a GPU-accelerated implementation of BLAS),
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or by linking with AMD ACML (which can use GPUs via OpenCL).
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-------------------------------------------------------------------
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Wed Jun 24 07:50:21 UTC 2015 - badshah400@gmail.com
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#
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# spec file for package armadillo
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#
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# Copyright (c) 2015 SUSE LINUX GmbH, Nuernberg, Germany.
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# Copyright (c) 2015 SUSE LINUX Products GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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%define soname libarmadillo5
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Name: armadillo
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Version: 5.200.2
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Version: 5.300.4
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Release: 0
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Summary: Fast C++ matrix library with interfaces to LAPACK and ATLAS
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License: MPL-2.0
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