From 23cb2d249907e474e8b5c42edcbe4d6fe588f99d Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 15:02:55 +0000 Subject: automatic import of python-clickmodels --- python-clickmodels.spec | 114 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 114 insertions(+) create mode 100644 python-clickmodels.spec (limited to 'python-clickmodels.spec') diff --git a/python-clickmodels.spec b/python-clickmodels.spec new file mode 100644 index 0000000..77f7aec --- /dev/null +++ b/python-clickmodels.spec @@ -0,0 +1,114 @@ +%global _empty_manifest_terminate_build 0 +Name: python-clickmodels +Version: 1.0.2 +Release: 1 +Summary: Probabilistic models of user behavior on a search engine result page +License: LICENSE +URL: https://github.com/varepsilon/clickmodels +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/50/7c/c40372822c8177febc6593d5b785f069b3ab2134c1b509de98036f5c41e7/clickmodels-1.0.2.tar.gz +BuildArch: noarch + + +%description +ClickModels is a small set of Python scripts for the user click models +initially developed at `Yandex `__. A *Click +Model* is a probabilistic graphical model used to predict search engine +click data from past observations. This project is aimed to deal with +click models used in Information Retrieval (see next section) and +intended to be easy-to-read and easy-to-modify. If it's not, please let +me know how to improve it :) +If you are using this code for your research work, consider citing one +of our papers when appropriate (see +`References `__ +section below). +If you are looking for a general-purpose framework to work with +probabilistic graphical models you might want to examine +`Infer.NET `__. +It should also work with IronPython. + +%package -n python3-clickmodels +Summary: Probabilistic models of user behavior on a search engine result page +Provides: python-clickmodels +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-clickmodels +ClickModels is a small set of Python scripts for the user click models +initially developed at `Yandex `__. A *Click +Model* is a probabilistic graphical model used to predict search engine +click data from past observations. This project is aimed to deal with +click models used in Information Retrieval (see next section) and +intended to be easy-to-read and easy-to-modify. If it's not, please let +me know how to improve it :) +If you are using this code for your research work, consider citing one +of our papers when appropriate (see +`References `__ +section below). +If you are looking for a general-purpose framework to work with +probabilistic graphical models you might want to examine +`Infer.NET `__. +It should also work with IronPython. + +%package help +Summary: Development documents and examples for clickmodels +Provides: python3-clickmodels-doc +%description help +ClickModels is a small set of Python scripts for the user click models +initially developed at `Yandex `__. A *Click +Model* is a probabilistic graphical model used to predict search engine +click data from past observations. This project is aimed to deal with +click models used in Information Retrieval (see next section) and +intended to be easy-to-read and easy-to-modify. If it's not, please let +me know how to improve it :) +If you are using this code for your research work, consider citing one +of our papers when appropriate (see +`References `__ +section below). +If you are looking for a general-purpose framework to work with +probabilistic graphical models you might want to examine +`Infer.NET `__. +It should also work with IronPython. + +%prep +%autosetup -n clickmodels-1.0.2 + +%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-clickmodels -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot - 1.0.2-1 +- Package Spec generated -- cgit v1.2.3