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diff --git a/python-hll.spec b/python-hll.spec new file mode 100644 index 0000000..d20e08a --- /dev/null +++ b/python-hll.spec @@ -0,0 +1,102 @@ +%global _empty_manifest_terminate_build 0 +Name: python-HLL +Version: 2.0.3 +Release: 1 +Summary: HyperLogLog implementation in C for python. +License: MIT +URL: https://github.com/ascv/HyperLogLog +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c0/83/11c5382811c1df86c08875c38479e117e68f0e16eeac89874f4dcbc1f027/HLL-2.0.3.tar.gz +BuildArch: noarch + + +%description +The HyperLogLog algorithm [1] is a space efficient method to estimate the +cardinality of extraordinarily large data sets. This library implements a 64 +bit variant [2] written in C that uses a MurmurHash64A hash function. + +[1] Flajolet, Philippe; Fusy, Eric; Gandouet, Olivier; Meunier, Frederic +(2007). "Hyperloglog: The analysis of a near-optimal cardinality estimation +algorithm" (PDF). Disc. Math. and Theor. Comp. Sci. Proceedings. AH: 127146. +CiteSeerX 10.1.1.76.4286. + +[2] Omar Ertl, "New cardinality estimation algorithms for HyperLogLog Sketches" +arXiv:1702.01284 [cs] Feb. 2017. + +%package -n python3-HLL +Summary: HyperLogLog implementation in C for python. +Provides: python-HLL +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-HLL +The HyperLogLog algorithm [1] is a space efficient method to estimate the +cardinality of extraordinarily large data sets. This library implements a 64 +bit variant [2] written in C that uses a MurmurHash64A hash function. + +[1] Flajolet, Philippe; Fusy, Eric; Gandouet, Olivier; Meunier, Frederic +(2007). "Hyperloglog: The analysis of a near-optimal cardinality estimation +algorithm" (PDF). Disc. Math. and Theor. Comp. Sci. Proceedings. AH: 127146. +CiteSeerX 10.1.1.76.4286. + +[2] Omar Ertl, "New cardinality estimation algorithms for HyperLogLog Sketches" +arXiv:1702.01284 [cs] Feb. 2017. + +%package help +Summary: Development documents and examples for HLL +Provides: python3-HLL-doc +%description help +The HyperLogLog algorithm [1] is a space efficient method to estimate the +cardinality of extraordinarily large data sets. This library implements a 64 +bit variant [2] written in C that uses a MurmurHash64A hash function. + +[1] Flajolet, Philippe; Fusy, Eric; Gandouet, Olivier; Meunier, Frederic +(2007). "Hyperloglog: The analysis of a near-optimal cardinality estimation +algorithm" (PDF). Disc. Math. and Theor. Comp. Sci. Proceedings. AH: 127146. +CiteSeerX 10.1.1.76.4286. + +[2] Omar Ertl, "New cardinality estimation algorithms for HyperLogLog Sketches" +arXiv:1702.01284 [cs] Feb. 2017. + +%prep +%autosetup -n HLL-2.0.3 + +%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-HLL -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.3-1 +- Package Spec generated |