# # spec file for package python-pyMinuit2 # # 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 pyMinuit2 Summary: Python wrapper for NVIDIA's CUDA API License: MIT Group: Development/Libraries/Python Name: python-%{modname} Version: 1.1.0 Release: 0 Source0: http://pyminuit2.googlecode.com/files/pyminuit2-1.1.0.tar.gz Url: http://code.google.com/p/pyminuit2/ BuildRoot: %{_tmppath}/%{name}-%{version}-build Requires: python-numpy %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 BuildRequires: gcc-c++ BuildRequires: libroot-core-devel BuildRequires: libroot-graf2d-graf-devel BuildRequires: libroot-hist-devel BuildRequires: libroot-io-devel BuildRequires: libroot-math-mathcore-devel BuildRequires: libroot-math-matrix-devel BuildRequires: libroot-net-devel BuildRequires: python-devel BuildRequires: python-numpy-devel BuildRequires: python-setuptools BuildRequires: root-plugin-math-minuit2-devel %description PyMinuit2 is an extension module for Python that passes low-level Minuit functionality to Python functions. Minuit has been the standard package for minimizing general N-dimensional functions in high-energy physics since its introduction in 1972. It features a robust set of algorithms for optimizing the search, correcting mistakes, and measuring non-linear error bounds. It is the minimization engine used behind-the-scenes in most high-energy physics curve fitting applications. %prep %setup -q -n pyminuit2-%{version} %build python setup.py build %install python setup.py install --prefix=%{_prefix} --root=%{buildroot} %clean rm -rf %{buildroot} %files %defattr(-,root,root) %doc README.rst test/ %{python_sitearch}/minuit2.so %{python_sitearch}/%{modname}-%{version}-py%{py_ver}.egg-info %changelog