Update to 0.6.0
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scipy-0.5.2.1.tar.gz
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scipy-0.6.0.tar.gz
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scipy.spec
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scipy.spec
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%define python_sitearch %(%{__python} -c 'from distutils import sysconfig; print sysconfig.get_python_lib(1)')
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Summary: Scipy: array processing for numbers, strings, records, and objects
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Summary: Scipy: Scientific Tools for Python
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Name: scipy
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Version: 0.5.2.1
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Release: 1%{?dist}
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Version: 0.6.0
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Release: 3%{?dist}
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Group: Development/Libraries
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License: BSD and LGPLv2+
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Url: http://numeric.scipy.org
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Url: http://www.scipy.org
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Source0: http://prdownloads.sourceforge.net/scipy/%{name}-%{version}.tar.gz
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BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-root-%(%{__id_u} -n)
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BuildRequires: numpy, python-devel
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BuildRequires: fftw-devel, blas-devel, lapack-devel
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BuildRequires: gcc-gfortran
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BuildRequires: numpy, python-devel
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BuildRequires: fftw-devel, blas-devel, lapack-devel, ufsparse-devel
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BuildRequires: gcc-gfortran, swig
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Requires: numpy, python
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%description
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Scipy 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. Scipy 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.
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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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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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%setup -q
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cat > site.cfg << EOF
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[amd]
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library_dirs = %{_libdir}
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include_dirs = /usr/include/suitesparse:/usr/include/ufsparse
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amd_libs = amd
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[umfpack]
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library_dirs = %{_libdir}
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include_dirs = /usr/include/suitesparse:/usr/include/ufsparse
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umfpack_libs = umfpack
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EOF
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%build
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ln -s Lib scipy
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env CFLAGS="$RPM_OPT_FLAGS" ATLAS=%{_libdir} FFTW=%{_libdir} BLAS=%{_libdir} LAPACK=%{_libdir} python setup.py config_fc --fcompiler=gnu95 --noarch build
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@ -55,6 +65,19 @@ rm -rf $RPM_BUILD_ROOT
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%changelog
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* Wed Oct 03 2007 Jef Spaleta <jspaleta@gmail.com> - 0.6.0-3
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- include_dirs changes for ufsparse change in development
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* Tue Oct 02 2007 Jef Spaleta <jspaleta@gmail.com> - 0.6.0-2
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- Fix licensing to match Fedora packaging guidance
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- Remove unnecessary library deps
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* Tue Sep 25 2007 Jarrod Millman <millman@berkeley.edu> - 0.6.0-1
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- update to new upstream source
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- update Summary, License, Url, and description
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- added extra dependencies
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- remove symlink since Lib has been renamed scipy
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* Tue Aug 21 2007 Jef Spaleta <jspaleta@gmail.com> - 0.5.2.1-1
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- Update to new upstream source
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