Marcus Rueckert
f413be8ec5
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=11
137 lines
4.1 KiB
RPMSpec
137 lines
4.1 KiB
RPMSpec
#
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# spec file for package python-numpy
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#
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# Copyright (c) 2011 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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Name: python-numpy
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Summary: NumPy: array processing for numbers, strings, records and objects
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License: BSD
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Group: Development/Libraries/Python
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Version: 1.5.1
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Release: 1
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Url: http://sourceforge.net/projects/numpy
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Provides: numpy = %version-%release
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%if 0%{?fedora_version} == 0
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Provides: python-numeric = %version-%release
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%endif
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BuildRequires: python-devel >= 2.4
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BuildRequires: lapack
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BuildRequires: blas
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%if 0%{?suse_version}
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BuildRequires: gcc-fortran
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%py_requires
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%else
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BuildRequires: gcc-gfortran
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%{!?py_sitedir: %global py_sitedir %(%{__python} -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")}
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%endif
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%if 0%{?suse_version} > 1020
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BuildRequires: fdupes
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%endif
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Source: numpy-%{version}.tar.bz2
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Source1: python-numpy-rpmlintrc
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Patch1: numpy-buildfix.patch
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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%description
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NumPy is a general-purpose array-processing package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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records without sacrificing too much speed for small multi-dimensional
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arrays. NumPy is built on the Numeric code base and adds features
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introduced by numarray as well as an extended C-API and the ability to
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create arrays of arbitrary type which also makes NumPy suitable for
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interfacing with general-purpose data-base applications.
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There are also basic facilities for discrete fourier transform,
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basic linear algebra and random number generation.
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%package devel
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License: BSD
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Summary: Development files for numpy applications
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Group: Development/Libraries/Python
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Requires: %{name} = %{version}
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Requires: python-devel
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Requires: lapack
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Requires: blas
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Requires: gcc-fortran
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%description devel
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This package contains files for developing applications using numpy.
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%prep
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%setup -q -n numpy-%{version}
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%patch1 -p0
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for i in $(find . -name "*.py"); do
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sed -i 's|^.*env python$|#!%{_bindir}/python|g' $i
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done
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%build
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env CFLAGS="%{optflags} -fno-strict-aliasing" \
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%{__python} setup.py build
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%install
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%{__python} setup.py install \
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--root="%{buildroot}" \
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--prefix="%{_prefix}"
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# make rpmlint happy, add executable flag, even if the file
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# should be called by another script
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# find %{buildroot}%{py_sitedir}/numpy/ -type f -name "*.py" -print0 | xargs -0 chmod +x
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# save space
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%if 0%{?suse_version} > 1020
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%fdupes -s %{buildroot}
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%endif
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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 *.txt
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%dir %{py_sitedir}/numpy
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%{_bindir}/*
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%if 0%{?sles_version} == 0
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%if 0%{?suse_version} >= 1020 || 0%{?fedora_version}
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%{py_sitedir}/*info
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%endif
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%endif
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%{py_sitedir}/numpy/*
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%exclude %{py_sitedir}/numpy/*/*/*.c
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# %exclude %{py_sitedir}/numpy/*/*/*/*.c
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%exclude %{py_sitedir}/numpy/*/*/*/*/*.c
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%exclude %{py_sitedir}/numpy/*/*.h
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%exclude %{py_sitedir}/numpy/*/*/*.h
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%exclude %{py_sitedir}/numpy/*/*/*/*.h
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%exclude %{py_sitedir}/numpy/*/*/*/*/*.h
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# %exclude %{py_sitedir}/numpy/*/*/*/*.cxx
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# %exclude %{py_sitedir}/numpy/*/*/*/*.cpp
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%files devel
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%defattr(-,root,root)
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%{py_sitedir}/numpy/*/*/*.c
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# %{py_sitedir}/numpy/*/*/*/*.c
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%{py_sitedir}/numpy/*/*/*/*/*.c
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%{py_sitedir}/numpy/*/*.h
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%{py_sitedir}/numpy/*/*/*.h
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%{py_sitedir}/numpy/*/*/*/*.h
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%{py_sitedir}/numpy/*/*/*/*/*.h
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# %{py_sitedir}/numpy/*/*/*/*.cxx
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# %{py_sitedir}/numpy/*/*/*/*.cpp
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%changelog
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