76 lines
2.5 KiB
RPMSpec
76 lines
2.5 KiB
RPMSpec
#
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# spec file for package python-pyMinuit2
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#
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# Copyright (c) 2013 SUSE LINUX Products GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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#
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%define modname pyMinuit2
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Summary: Python wrapper for NVIDIA's CUDA API
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License: MIT
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Group: Development/Libraries/Python
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Name: python-%{modname}
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Version: 1.1.0
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Release: 0
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Source0: http://pyminuit2.googlecode.com/files/pyminuit2-1.1.0.tar.gz
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Url: http://code.google.com/p/pyminuit2/
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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Requires: python-numpy
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%if 0%{?suse_version} <= 1110
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%{!?python_sitearch: %global python_sitearch %(%{__python} -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")}
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%endif
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BuildRequires: gcc-c++
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BuildRequires: libroot-core-devel
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BuildRequires: libroot-graf2d-graf-devel
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BuildRequires: libroot-hist-devel
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BuildRequires: libroot-io-devel
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BuildRequires: libroot-math-mathcore-devel
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BuildRequires: libroot-math-matrix-devel
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BuildRequires: libroot-net-devel
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BuildRequires: python-devel
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BuildRequires: python-numpy-devel
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BuildRequires: python-setuptools
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BuildRequires: root-plugin-math-minuit2-devel
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%description
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PyMinuit2 is an extension module for Python that passes low-level Minuit
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functionality to Python functions.
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Minuit has been the standard package for minimizing general N-dimensional
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functions in high-energy physics since its introduction in 1972. It features
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a robust set of algorithms for optimizing the search, correcting mistakes,
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and measuring non-linear error bounds. It is the minimization engine used
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behind-the-scenes in most high-energy physics curve fitting applications.
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%prep
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%setup -q -n pyminuit2-%{version}
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%build
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python setup.py build
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%install
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python setup.py install --prefix=%{_prefix} --root=%{buildroot}
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%clean
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rm -rf %{buildroot}
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%files
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%defattr(-,root,root)
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%doc README.rst test/
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%{python_sitearch}/minuit2.so
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%{python_sitearch}/%{modname}-%{version}-py%{py_ver}.egg-info
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%changelog
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