%global _empty_manifest_terminate_build 0 Name: python-emcee Version: 3.1.4 Release: 1 Summary: The Python ensemble sampling toolkit for MCMC License: MIT URL: https://emcee.readthedocs.io Source0: https://mirrors.nju.edu.cn/pypi/web/packages/56/62/f8268fe4cf6f8af3860617a53e935e195ce7406d0b10f3ab0fb85bf17533/emcee-3.1.4.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-h5py Requires: python3-scipy Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-coverage[toml] %description **The Python ensemble sampling toolkit for affine-invariant MCMC** emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by `Goodman & Weare (2010) `_. The code is open source and has already been used in several published projects in the Astrophysics literature. %package -n python3-emcee Summary: The Python ensemble sampling toolkit for MCMC Provides: python-emcee BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-emcee **The Python ensemble sampling toolkit for affine-invariant MCMC** emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by `Goodman & Weare (2010) `_. The code is open source and has already been used in several published projects in the Astrophysics literature. %package help Summary: Development documents and examples for emcee Provides: python3-emcee-doc %description help **The Python ensemble sampling toolkit for affine-invariant MCMC** emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by `Goodman & Weare (2010) `_. The code is open source and has already been used in several published projects in the Astrophysics literature. %prep %autosetup -n emcee-3.1.4 %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-emcee -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Apr 07 2023 Python_Bot - 3.1.4-1 - Package Spec generated