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%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 <Python_Bot@openeuler.org> - 0.4.2-1
- Package Spec generated
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