rpms/scipy
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Remove duplicate %descriptions

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Zbigniew Jędrzejewski-Szmek 2019-07-12 15:12:53 +02:00
parent 180d9017e2
commit a07631500b
1 changed files with 5 additions and 23 deletions
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scipy.spec
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@ -57,7 +57,7 @@ BuildRequires: python3-matplotlib
BuildRequires: python3-numpydoc
%endif # with doc
%description
%global _description %{expand:
Scipy is open-source software for mathematics, science, and
engineering. The core library is NumPy which provides convenient and
fast N-dimensional array manipulation. The SciPy library is built to
@ -66,8 +66,9 @@ numerical routines such as routines for numerical integration and
optimization. Together, they run on all popular operating systems, are
quick to install, and are free of charge. NumPy and SciPy are easy to
use, but powerful enough to be depended upon by some of the world's
leading scientists and engineers.
leading scientists and engineers.}
%description %_description
%package -n python2-scipy
Summary: Scientific Tools for Python
@ -77,16 +78,7 @@ Requires: numpy, f2py
Provides: scipy = %{version}-%{release}
Provides: scipy%{?_isa} = %{version}-%{release}
Obsoletes: scipy <= 0.16.0
%description -n python2-scipy
Scipy is open-source software for mathematics, science, and
engineering. The core library is NumPy which provides convenient and
fast N-dimensional array manipulation. The SciPy library is built to
work with NumPy arrays, and provides many user-friendly and efficient
numerical routines such as routines for numerical integration and
optimization. Together, they run on all popular operating systems, are
quick to install, and are free of charge. NumPy and SciPy are easy to
use, but powerful enough to be depended upon by some of the world's
leading scientists and engineers.
%description -n python2-scipy %_description
%if %{with doc}
%package -n python2-scipy-doc
@ -107,17 +99,7 @@ Summary: Scientific Tools for Python
License: BSD and LGPLv2+
Requires: python3-numpy, python3-f2py
%{?python_provide:%python_provide python3-scipy}
%description -n python3-scipy
Scipy is open-source software for mathematics, science, and
engineering. The core library is NumPy which provides convenient and
fast N-dimensional array manipulation. The SciPy library is built to
work with NumPy arrays, and provides many user-friendly and efficient
numerical routines such as routines for numerical integration and
optimization. Together, they run on all popular operating systems, are
quick to install, and are free of charge. NumPy and SciPy are easy to
use, but powerful enough to be depended upon by some of the world's
leading scientists and engineers.
%description -n python3-scipy %_description
%prep
%autosetup -p1 -n %{name}-%{version}%{?rcver}