c488ce8a65
scipy needs the static lib to build (forwarded request 85875 from behrisch) OBS-URL: https://build.opensuse.org/request/show/85899 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=14
112 lines
4.0 KiB
RPMSpec
112 lines
4.0 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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Version: 1.6.1
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Release: 0
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Url: http://sourceforge.net/projects/numpy
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Summary: NumPy array processing for numbers, strings, records and objects
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License: BSD-3-Clause
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Group: Development/Libraries/Python
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Source: numpy-%{version}.tar.gz
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Patch1: numpy-buildfix.patch
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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BuildRequires: python-devel
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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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%if 0%{?suse_version} > 1020
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BuildRequires: fdupes
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%endif
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%else
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BuildRequires: gcc-gfortran
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%endif
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Provides: numpy = %{version}
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%if ! 0%{?fedora_version}
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Provides: python-numeric = %{version}
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Obsoletes: python-numeric < %{version}
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%endif
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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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%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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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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%if 0%{?suse_version}
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Requires: gcc-fortran
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%else
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BuildRequires: gcc-gfortran
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%endif
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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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sed -i "1d" numpy/{compat/setup{,scons},distutils/{conv_template,cpuinfo,exec_command,from_template,setup,setupscons,system_info},f2py/{auxfuncs,capi_maps,cb_rules,cfuncs,common_rules,crackfortran,diagnose,docs/usersguide/setup_example,f2py2e,f90mod_rules,func2subr,__init__,rules,setup,setupscons,use_rules},ma/setup{,scons},matrixlib/setup{,scons},setup,setupscons,testing/print_coercion_tables,testing/setup{,scons}}.py # Fix non-executable scripts
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%build
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CFLAGS="%{optflags} -fno-strict-aliasing" python setup.py build
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%install
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python setup.py install --root="%{buildroot}" --prefix="%{_prefix}"
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rm -rf %{buildroot}%{python_sitearch}/numpy/{,core,distutils,f2py,fft,ma,matrixlib,oldnumeric,polynomial,random,testing}/tests # Don't package testsuite
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%if 0%{?suse_version} > 1020
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%fdupes -s %{buildroot}%{_prefix}
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%endif
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%files
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%defattr(-,root,root)
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%doc *.txt
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%{_bindir}/*
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%{python_sitearch}/*
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%exclude %{python_sitearch}/numpy/*/*/*.c
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%exclude %{python_sitearch}/numpy/*/*.h
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%exclude %{python_sitearch}/numpy/*/*/*.h
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%exclude %{python_sitearch}/numpy/*/*/*/*.h
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%exclude %{python_sitearch}/numpy/core/lib/libnpymath.a
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%files devel
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%defattr(-,root,root)
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%{python_sitearch}/numpy/*/*/*.c
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%{python_sitearch}/numpy/*/*.h
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%{python_sitearch}/numpy/*/*/*.h
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%{python_sitearch}/numpy/*/*/*/*.h
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%{python_sitearch}/numpy/core/lib/libnpymath.a
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%changelog
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