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File xsimd.spec of Package xsimd
# # spec file for package xsimd # # Copyright (c) 2024 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # Name: xsimd Version: 13.0.0 Release: 0 Summary: C++ wrappers for SIMD intrinsics License: BSD-3-Clause Group: Development/Libraries/C and C++ URL: https://xsimd.readthedocs.io/en/latest/ Source0: https://github.com/xtensor-stack/xsimd/archive/refs/tags/%{version}.tar.gz#/%{name}-%{version}.tar.gz # PATCH-FIX-UPSTREAM -- https://mail.kde.org/pipermail/distributions/2024-July/001511.html Patch0: 0001-Fix-xsimd-available_architectures-.has-for-sve-and-r.patch Patch1: 0002-Fix-detection-of-SSE-AVX-AVX512-when-they-are-explic.patch BuildRequires: cmake BuildRequires: doctest-devel BuildRequires: doxygen BuildRequires: gcc-c++ BuildRequires: make BuildRequires: pkgconfig BuildRequires: python3-breathe BuildRequires: cmake(GTest) %description SIMD (Single Instruction, Multiple Data) is a feature of microprocessors that has been available for many years. SIMD instructions perform a single operation on a batch of values at once, and thus provide a way to significantly accelerate code execution. However, these instructions differ between microprocessor vendors and compilers. xsimd provides a unified means for using these features for library authors. Namely, it enables manipulation of batches of numbers with the same arithmetic operators as for single values. It also provides accelerated implementation of common mathematical functions operating on batches. %prep %autosetup -p1 %build %cmake -DBUILD_TESTS:BOOL=ON %cmake_build # Build documentation pushd %{_builddir}/%{name}-%{version}/docs %make_build html popd %install %cmake_install #install documentation mkdir -p %{buildroot}%{_docdir}/%{name} cp -r %{_builddir}/%{name}-%{version}/docs/build/html/* %{buildroot}%{_docdir}/%{name} %check %ctest %package devel Summary: Development files for xsimd %description devel SIMD (Single Instruction, Multiple Data) is a feature of microprocessors that has been available for many years. SIMD instructions perform a single operation on a batch of values at once, and thus provide a way to significantly accelerate code execution. However, these instructions differ between microprocessor vendors and compilers. xsimd provides a unified means for using these features for library authors. Namely, it enables manipulation of batches of numbers with the same arithmetic operators as for single values. It also provides accelerated implementation of common mathematical functions operating on batches. This package contains the developments files needed to use xsimd %files devel %license LICENSE %{_includedir}/xsimd %{_libdir}/cmake/xsimd %{_libdir}/pkgconfig/xsimd.pc %package doc Summary: Documentation for xsimd Group: Documentation/HTML %description doc SIMD (Single Instruction, Multiple Data) is a feature of microprocessors that has been available for many years. SIMD instructions perform a single operation on a batch of values at once, and thus provide a way to significantly accelerate code execution. However, these instructions differ between microprocessor vendors and compilers. xsimd provides a unified means for using these features for library authors. Namely, it enables manipulation of batches of numbers with the same arithmetic operators as for single values. It also provides accelerated implementation of common mathematical functions operating on batches. This package contains the xsimd documentation %files doc %doc %{_docdir}/%{name} %changelog
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