From 10007ea61c3e7795f1feb5d6b484ed86656bf64e Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 10 Apr 2023 13:42:03 +0000 Subject: automatic import of python-faiss-cpu --- .gitignore | 1 + python-faiss-cpu.spec | 92 +++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 94 insertions(+) create mode 100644 python-faiss-cpu.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..68d48c5 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/faiss-cpu-1.7.3.tar.gz diff --git a/python-faiss-cpu.spec b/python-faiss-cpu.spec new file mode 100644 index 0000000..558a7ba --- /dev/null +++ b/python-faiss-cpu.spec @@ -0,0 +1,92 @@ +%global _empty_manifest_terminate_build 0 +Name: python-faiss-cpu +Version: 1.7.3 +Release: 1 +Summary: A library for efficient similarity search and clustering of dense vectors. +License: MIT +URL: https://github.com/kyamagu/faiss-wheels +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/28/26/e3324c9f4392231338d2967f6400accdd561c5b27e3d8d9891986e373839/faiss-cpu-1.7.3.tar.gz + + +%description + +Faiss is a library for efficient similarity search and clustering of dense +vectors. It contains algorithms that search in sets of vectors of any size, up +to ones that possibly do not fit in RAM. It also contains supporting code for +evaluation and parameter tuning. Faiss is written in C++ with complete wrappers +for Python/numpy. It is developed by Facebook AI Research. + + +%package -n python3-faiss-cpu +Summary: A library for efficient similarity search and clustering of dense vectors. +Provides: python-faiss-cpu +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-faiss-cpu + +Faiss is a library for efficient similarity search and clustering of dense +vectors. It contains algorithms that search in sets of vectors of any size, up +to ones that possibly do not fit in RAM. It also contains supporting code for +evaluation and parameter tuning. Faiss is written in C++ with complete wrappers +for Python/numpy. It is developed by Facebook AI Research. + + +%package help +Summary: Development documents and examples for faiss-cpu +Provides: python3-faiss-cpu-doc +%description help + +Faiss is a library for efficient similarity search and clustering of dense +vectors. It contains algorithms that search in sets of vectors of any size, up +to ones that possibly do not fit in RAM. It also contains supporting code for +evaluation and parameter tuning. Faiss is written in C++ with complete wrappers +for Python/numpy. It is developed by Facebook AI Research. + + +%prep +%autosetup -n faiss-cpu-1.7.3 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-faiss-cpu -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot - 1.7.3-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..ac3d43e --- /dev/null +++ b/sources @@ -0,0 +1 @@ +867f9e7231cf1e08ccff3ad4e1ba9bd3 faiss-cpu-1.7.3.tar.gz -- cgit v1.2.3