Package init
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numpy-1.16.5.tar.gz
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numpy-1.16.5.tar.gz
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numpy.spec
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numpy.spec
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%global modname numpy
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Name: numpy
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Version: 1.16.5
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Release: 2
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Epoch: 1
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Summary: A fast multidimensional array facility for Python
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License: BSD and Python
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URL: http://www.numpy.org/
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Source0: https://github.com/%{name}/%{name}/releases/download/v%{version}/%{name}-%{version}.tar.gz
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BuildRequires: openblas-devel
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BuildRequires: lapack-devel gcc-gfortran Cython
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%description
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NumPy is the fundamental package for scientific computing with Python. It contains among other things:
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a powerful N-dimensional array object
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sophisticated (broadcasting) functions
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tools for integrating C/C++ and Fortran code
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useful linear algebra, Fourier transform, and random number capabilities
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Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
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%package -n python2-numpy
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Summary: A fast multidimensional array facility for Python
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%{?python_provide:%python_provide python2-%{modname}}
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BuildRequires: python2-devel
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BuildRequires: python2-setuptools
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BuildRequires: python2-nose
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BuildRequires: python2-pytest
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Requires: python2-nose
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Provides: numpy = %{epoch}:%{version}-%{release}
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Provides: numpy%{?_isa} = %{epoch}:%{version}-%{release}
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Provides: python2-numpy-doc
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Obsoletes: python2-numpy-doc
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%description -n python2-numpy
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NumPy is the fundamental package for scientific computing with Python. It contains among other things:
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a powerful N-dimensional array object
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sophisticated (broadcasting) functions
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tools for integrating C/C++ and Fortran code
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useful linear algebra, Fourier transform, and random number capabilities
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Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
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%package -n python2-numpy-f2py
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Summary: f2py for numpy
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Requires: %{name} = %{epoch}:%{version}-%{release}
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Requires: python2-devel
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Provides: f2py = %{epoch}:%{version}-%{release}
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Provides: numpy-f2py = %{epoch}:%{version}-%{release}
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%{?python_provide:%python_provide python2-numpy-f2py}
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%description -n python2-numpy-f2py
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This package includes a version of f2py that works properly with NumPy.
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%package -n python3-numpy
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Summary: A fast multidimensional array facility for Python
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License: BSD
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%{?python_provide:%python_provide python3-numpy}
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BuildRequires: python3-devel
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BuildRequires: python3-setuptools
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BuildRequires: python3-nose
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BuildRequires: python3-pytest
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Provides: python3-numpy-doc
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Obsoletes: python3-numpy-doc
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%description -n python3-numpy
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NumPy is the fundamental package for scientific computing with Python. It contains among other things:
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a powerful N-dimensional array object
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sophisticated (broadcasting) functions
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tools for integrating C/C++ and Fortran code
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useful linear algebra, Fourier transform, and random number capabilities
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Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
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%package -n python3-numpy-f2py
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Summary: f2py for numpy
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Requires: python3-numpy = %{epoch}:%{version}-%{release}
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Requires: python3-devel
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Provides: python3-f2py = %{version}-%{release}
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%{?python_provide:%python_provide python3-numpy-f2py}
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%description -n python3-numpy-f2py
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This package includes a version of f2py that works properly with NumPy.
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%prep
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%autosetup -n %{name}-%{version} -p1
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rm numpy/distutils/command/__init__.py && touch numpy/distutils/command/__init__.py
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cat >> site.cfg <<EOF
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[openblas]
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library_dirs = %{_libdir}
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openblas_libs = openblasp
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EOF
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rm -rf %{py3dir}
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cp -a . %{py3dir}
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%build
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pushd %{py3dir}
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env OPENBLAS=%{_libdir} \
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BLAS=%{_libdir} \
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LAPACK=%{_libdir} CFLAGS="%{optflags}" \
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%{__python3} setup.py build
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popd
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env OPENBLAS=%{_libdir} \
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BLAS=%{_libdir} \
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LAPACK=%{_libdir} CFLAGS="%{optflags}" \
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%{__python2} setup.py build
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%install
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pushd %{py3dir}
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env OPENBLAS=%{_libdir} \
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FFTW=%{_libdir} BLAS=%{_libdir} \
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LAPACK=%{_libdir} CFLAGS="%{optflags}" \
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%{__python3} setup.py install --root %{buildroot}
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pushd %{buildroot}%{_bindir} &> /dev/null
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popd &> /dev/null
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popd
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env OPENBLAS=%{_libdir} \
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FFTW=%{_libdir} BLAS=%{_libdir} \
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LAPACK=%{_libdir} CFLAGS="%{optflags}" \
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%{__python2} setup.py install --root %{buildroot}
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pushd %{buildroot}%{_bindir} &> /dev/null
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ln -s f2py2 f2py.numpy
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popd &> /dev/null
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mkdir -p %{buildroot}/usr/include
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ln -s %{python2_sitearch}/%{name}/core/include/numpy/ %{buildroot}/usr/include/numpy
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%check
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pushd doc &> /dev/null
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PYTHONPATH="%{buildroot}%{python2_sitearch}" PYTHONDONTWRITEBYTECODE=1 \
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%{__python2} -c "import pkg_resources, numpy ; numpy.test(verbose=2)"
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popd &> /dev/null
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pushd doc &> /dev/null
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PYTHONPATH="%{buildroot}%{python3_sitearch}" PYTHONDONTWRITEBYTECODE=1 \
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%{__python3} -c "import pkg_resources, numpy ; numpy.test(verbose=2)"
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popd &> /dev/null
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%files -n python2-numpy
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%license LICENSE.txt
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%doc THANKS.txt site.cfg.example
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%dir %{python2_sitearch}/%{name}
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%{python2_sitearch}/%{name}/*
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%{python2_sitearch}/%{name}-*.egg-info
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%{_includedir}/numpy
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%exclude %{python2_sitearch}/%{name}/LICENSE.txt
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%files -n python2-numpy-f2py
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%{_bindir}/f2py
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%{_bindir}/f2py2
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%{_bindir}/f2py2.7
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%{_bindir}/f2py.numpy
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%{python2_sitearch}/%{name}/f2py
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%files -n python3-numpy
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%license LICENSE.txt
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%doc THANKS.txt site.cfg.example
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%dir %{python3_sitearch}/%{name}
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%{python3_sitearch}/%{name}/*
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%{python3_sitearch}/%{name}-*.egg-info
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%exclude %{python3_sitearch}/%{name}/LICENSE.txt
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%files -n python3-numpy-f2py
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%{_bindir}/f2py3
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%{_bindir}/f2py3.7
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%{python3_sitearch}/%{name}/f2py
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%changelog
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* Tue Oct 22 2019 openEuler Buildteam <buildteam@openeuler.org> - 1.16.5-1
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- Package init
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