Source: xsimd
Section: science
Priority: optional
Maintainer: linuxmangaka <linuxmangaka@gmail.com>
Rules-Requires-Root: no
Build-Depends: debhelper-compat (= 13),
 ccache,
 clang,
 cmake,
 doctest-dev <!nocheck>,
 g++,
 gcc,
 pkgconf,
 pkg-config,
 python3-breathe <!nodoc>,
 python3-sphinx <!nodoc>,
 python3-sphinx-rtd-theme <!nodoc>,
 xtl-dev,
Standards-Version: 4.7.2
Homepage: https://xsimd.readthedocs.io/en/latest/
Vcs-Browser: https://salsa.debian.org/science-team/xsimd
Vcs-Git: https://salsa.debian.org/science-team/xsimd.git

Package: libxsimd-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends: ${shlibs:Depends},
 ${misc:Depends},
 xtl-dev,
Suggests: libxsimd-doc <!nodoc>
Breaks: libxtensor-dev (<< 0.24~),
 python3-pythran (<< 0.11~),
Description: C++ wrappers for SIMD intrinsics
 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.

Package: libxsimd-doc
Section: doc
Architecture: all
Multi-Arch: foreign
Build-Profiles: <!nodoc>
Depends: ${shlibs:Depends},
 ${misc:Depends},
 ${sphinxdoc:Depends},
Description: C++ wrappers for SIMD intrinsics
 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.