%global _empty_manifest_terminate_build 0 Name: python-pyqreg Version: 0.4.2 Release: 1 Summary: Fast implementation of the quantile regression with support for iid, robust, and cluster standard errors. License: DSB 3-clause URL: https://github.com/mozjay0619/pyqreg Source0: https://mirrors.aliyun.com/pypi/web/packages/e8/f9/6b1072b3d599950318e9c380c6ed31bdb15da148fdb8e80cc76098a62c04/pyqreg-0.4.2.tar.gz BuildArch: noarch %description Pyqreg implements the quantile regression algorithm with fast estimation method using the linear programming interior point method following the preprocessing procedure in Portnoy and Koenker (1997). It provides methods for estimating the asymptotic covariance matrix for i.i.d and heteroskedastic errors, as well as clustered errors following Parente and Silva (2013). %package -n python3-pyqreg Summary: Fast implementation of the quantile regression with support for iid, robust, and cluster standard errors. Provides: python-pyqreg BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pyqreg Pyqreg implements the quantile regression algorithm with fast estimation method using the linear programming interior point method following the preprocessing procedure in Portnoy and Koenker (1997). It provides methods for estimating the asymptotic covariance matrix for i.i.d and heteroskedastic errors, as well as clustered errors following Parente and Silva (2013). %package help Summary: Development documents and examples for pyqreg Provides: python3-pyqreg-doc %description help Pyqreg implements the quantile regression algorithm with fast estimation method using the linear programming interior point method following the preprocessing procedure in Portnoy and Koenker (1997). It provides methods for estimating the asymptotic covariance matrix for i.i.d and heteroskedastic errors, as well as clustered errors following Parente and Silva (2013). %prep %autosetup -n pyqreg-0.4.2 %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-pyqreg -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.4.2-1 - Package Spec generated