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%global _empty_manifest_terminate_build 0
Name: python-sparse-dot-topn-for-blocks
Version: 0.3.1.post3
Release: 1
Summary: This package is intended for matrix blocks, boosting a sparse matrix multiplication followed by selecting the top-n multiplication
License: Apache 2.0
URL: https://github.com/ParticularMiner/sparse_dot_topn_for_blocks
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d2/04/b4e2614091b0f0afa69ee4bf630b2a60f1fbaf285140363885c3f936918d/sparse_dot_topn_for_blocks-0.3.1.post3.tar.gz
BuildArch: noarch
%description
# sparse\_dot\_topn\_for\_blocks:
**sparse\_dot\_topn\_for\_blocks** is a slight variation of [**sparse\_dot\_topn**](https://github.com/ing-bank/sparse_dot_topn) which provides a fast way to perform sparse matrix multiplication followed by top-n selection and sorting in each row.
It has the same interface as [**sparse\_dot\_topn**](https://github.com/ing-bank/sparse_dot_topn) but additionally allows an array to be passed whose elements will each be incremented with the maximum number of nonzero elements of each row of the result matrix with values above the given lower bound. This is suitable for block-matrix multiplication. That's all!
%package -n python3-sparse-dot-topn-for-blocks
Summary: This package is intended for matrix blocks, boosting a sparse matrix multiplication followed by selecting the top-n multiplication
Provides: python-sparse-dot-topn-for-blocks
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-sparse-dot-topn-for-blocks
# sparse\_dot\_topn\_for\_blocks:
**sparse\_dot\_topn\_for\_blocks** is a slight variation of [**sparse\_dot\_topn**](https://github.com/ing-bank/sparse_dot_topn) which provides a fast way to perform sparse matrix multiplication followed by top-n selection and sorting in each row.
It has the same interface as [**sparse\_dot\_topn**](https://github.com/ing-bank/sparse_dot_topn) but additionally allows an array to be passed whose elements will each be incremented with the maximum number of nonzero elements of each row of the result matrix with values above the given lower bound. This is suitable for block-matrix multiplication. That's all!
%package help
Summary: Development documents and examples for sparse-dot-topn-for-blocks
Provides: python3-sparse-dot-topn-for-blocks-doc
%description help
# sparse\_dot\_topn\_for\_blocks:
**sparse\_dot\_topn\_for\_blocks** is a slight variation of [**sparse\_dot\_topn**](https://github.com/ing-bank/sparse_dot_topn) which provides a fast way to perform sparse matrix multiplication followed by top-n selection and sorting in each row.
It has the same interface as [**sparse\_dot\_topn**](https://github.com/ing-bank/sparse_dot_topn) but additionally allows an array to be passed whose elements will each be incremented with the maximum number of nonzero elements of each row of the result matrix with values above the given lower bound. This is suitable for block-matrix multiplication. That's all!
%prep
%autosetup -n sparse-dot-topn-for-blocks-0.3.1.post3
%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-sparse-dot-topn-for-blocks -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.1.post3-1
- Package Spec generated
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