%global _empty_manifest_terminate_build 0
Name:		python-pybloom-live
Version:	4.0.0
Release:	1
Summary:	Bloom filter: A Probabilistic data structure
License:	MIT License
URL:		https://github.com/joseph-fox/python-bloomfilter
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/8c/06/868053bdca7afcc22905d6fa5f515880c31cbb12437aea1814c26cdd1c92/pybloom_live-4.0.0.tar.gz
BuildArch:	noarch


%description

This bloom filter is forked from pybloom, and its tightening ratio is changed to 0.9, and this ration is consistently used. Choosing r around 0.8 - 0.9 will result in better average space usage for wide range of growth, therefore the default value of model is set to LARGE_SET_GROWTH.
This is a Python implementation of the bloom filter probabilistic data
structure. The module also provides a Scalable Bloom Filter that allows a
bloom filter to grow without knowing the original set size.




%package -n python3-pybloom-live
Summary:	Bloom filter: A Probabilistic data structure
Provides:	python-pybloom-live
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-pybloom-live

This bloom filter is forked from pybloom, and its tightening ratio is changed to 0.9, and this ration is consistently used. Choosing r around 0.8 - 0.9 will result in better average space usage for wide range of growth, therefore the default value of model is set to LARGE_SET_GROWTH.
This is a Python implementation of the bloom filter probabilistic data
structure. The module also provides a Scalable Bloom Filter that allows a
bloom filter to grow without knowing the original set size.




%package help
Summary:	Development documents and examples for pybloom-live
Provides:	python3-pybloom-live-doc
%description help

This bloom filter is forked from pybloom, and its tightening ratio is changed to 0.9, and this ration is consistently used. Choosing r around 0.8 - 0.9 will result in better average space usage for wide range of growth, therefore the default value of model is set to LARGE_SET_GROWTH.
This is a Python implementation of the bloom filter probabilistic data
structure. The module also provides a Scalable Bloom Filter that allows a
bloom filter to grow without knowing the original set size.




%prep
%autosetup -n pybloom-live-4.0.0

%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-pybloom-live -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 4.0.0-1
- Package Spec generated