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| -rw-r--r-- | python-pyqreg.spec | 72 | ||||
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@@ -0,0 +1 @@ +/pyqreg-0.4.2.tar.gz diff --git a/python-pyqreg.spec b/python-pyqreg.spec new file mode 100644 index 0000000..b212cde --- /dev/null +++ b/python-pyqreg.spec @@ -0,0 +1,72 @@ +%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 @@ -0,0 +1 @@ +904e9b264c5cf8df5d69bbdb5dbb0cf0 pyqreg-0.4.2.tar.gz |