Remove duplicate %descriptions
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scipy.spec
28
scipy.spec
@ -57,7 +57,7 @@ BuildRequires: python3-matplotlib
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BuildRequires: python3-numpydoc
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BuildRequires: python3-numpydoc
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%endif # with doc
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%endif # with doc
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%description
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%global _description %{expand:
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Scipy is open-source software for mathematics, science, and
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Scipy is open-source software for mathematics, science, and
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engineering. The core library is NumPy which provides convenient and
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engineering. The core library is NumPy which provides convenient and
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fast N-dimensional array manipulation. The SciPy library is built to
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fast N-dimensional array manipulation. The SciPy library is built to
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@ -66,8 +66,9 @@ numerical routines such as routines for numerical integration and
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optimization. Together, they run on all popular operating systems, are
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optimization. Together, they run on all popular operating systems, are
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quick to install, and are free of charge. NumPy and SciPy are easy to
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quick to install, and are free of charge. NumPy and SciPy are easy to
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use, but powerful enough to be depended upon by some of the world's
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use, but powerful enough to be depended upon by some of the world's
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leading scientists and engineers.
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leading scientists and engineers.}
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%description %_description
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%package -n python2-scipy
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%package -n python2-scipy
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Summary: Scientific Tools for Python
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Summary: Scientific Tools for Python
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@ -77,16 +78,7 @@ Requires: numpy, f2py
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Provides: scipy = %{version}-%{release}
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Provides: scipy = %{version}-%{release}
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Provides: scipy%{?_isa} = %{version}-%{release}
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Provides: scipy%{?_isa} = %{version}-%{release}
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Obsoletes: scipy <= 0.16.0
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Obsoletes: scipy <= 0.16.0
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%description -n python2-scipy
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%description -n python2-scipy %_description
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Scipy is open-source software for mathematics, science, and
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engineering. The core library is NumPy which provides convenient and
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fast N-dimensional array manipulation. The SciPy library is built to
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work with NumPy arrays, and provides many user-friendly and efficient
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numerical routines such as routines for numerical integration and
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optimization. Together, they run on all popular operating systems, are
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quick to install, and are free of charge. NumPy and SciPy are easy to
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use, but powerful enough to be depended upon by some of the world's
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leading scientists and engineers.
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%if %{with doc}
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%if %{with doc}
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%package -n python2-scipy-doc
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%package -n python2-scipy-doc
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@ -107,17 +99,7 @@ Summary: Scientific Tools for Python
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License: BSD and LGPLv2+
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License: BSD and LGPLv2+
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Requires: python3-numpy, python3-f2py
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Requires: python3-numpy, python3-f2py
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%{?python_provide:%python_provide python3-scipy}
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%{?python_provide:%python_provide python3-scipy}
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%description -n python3-scipy
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%description -n python3-scipy %_description
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Scipy is open-source software for mathematics, science, and
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engineering. The core library is NumPy which provides convenient and
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fast N-dimensional array manipulation. The SciPy library is built to
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work with NumPy arrays, and provides many user-friendly and efficient
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numerical routines such as routines for numerical integration and
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optimization. Together, they run on all popular operating systems, are
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quick to install, and are free of charge. NumPy and SciPy are easy to
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use, but powerful enough to be depended upon by some of the world's
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leading scientists and engineers.
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%prep
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%prep
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%autosetup -p1 -n %{name}-%{version}%{?rcver}
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%autosetup -p1 -n %{name}-%{version}%{?rcver}
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