File python-pymc.spec of Package python-pymc
#
# spec file for package python-pymc
#
# Copyright (c) 2013 SUSE LINUX Products GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.
# Please submit bugfixes or comments via http://bugs.opensuse.org/
#
%define modname pymc
Name: python-%{modname}
Version: 2.3
Release: 1
Summary: Markov Chain Monte Carlo sampling toolkit for python
Url: http://pypi.python.org/pypi/pymc
License: AFL-3.0
Group: Development/Libraries/Python
Source: http://pypi.python.org/packages/source/p/%{modname}/%{modname}-%{version}.tar.gz
BuildRoot: %{_tmppath}/%{name}-buildroot
Requires: python-numpy
BuildRequires: python-devel
BuildRequires: gcc-fortran
BuildRequires: python-numpy-devel
%if 0%{?suse_version} <= 1110
%{!?python_sitearch: %global python_sitearch %(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")}
%endif
%description
Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC),
is an increasingly relevant approach to statistical estimation. However,
few statistical software packages implement MCMC samplers, and they are
non-trivial to code by hand. pymc is a python package that implements
the Metropolis-Hastings algorithm as a python class, and is extremely
flexible and applicable to a large suite of problems. pymc includes methods
for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
%prep
%setup -q -n %{modname}-%{version}
%build
export CFLAGS="%{optflags} -fno-strict-aliasing"
python setup.py build
%install
python setup.py install --prefix=%{_prefix} --root=%{buildroot}
%files
%defattr(-,root,root)
%doc LICENSE
%{python_sitearch}/%{modname}/
%{python_sitearch}/%{modname}-%{version}-py%{py_ver}.egg-info
%changelog