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-rw-r--r--.gitignore1
-rw-r--r--python-emcee.spec98
-rw-r--r--sources1
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diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
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+/emcee-3.1.4.tar.gz
diff --git a/python-emcee.spec b/python-emcee.spec
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index 0000000..81884bb
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+++ b/python-emcee.spec
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+%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) <http://cims.nyu.edu/~weare/papers/d13.pdf>`_.
+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
+%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) <http://cims.nyu.edu/~weare/papers/d13.pdf>`_.
+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) <http://cims.nyu.edu/~weare/papers/d13.pdf>`_.
+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 Feb 24 2023 Python_Bot <Python_Bot@openeuler.org> - 3.1.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..c263398
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+b8e2cd950501fc9779f3e0530b24cfea emcee-3.1.4.tar.gz