#
# spec file for package python-numpy (Version 1.5.1)
#
# Copyright (c) 2010 SUSE LINUX Products GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

# Please submit bugfixes or comments via http://bugs.opensuse.org/
#



Name:           python-numpy
Summary:        NumPy: array processing for numbers, strings, records and objects
License:        BSD
Group:          Development/Libraries/Python
Version:        1.5.1
Release:        1
Url:            http://sourceforge.net/projects/numpy
Provides:       numpy = %version-%release
%if 0%{?fedora_version} == 0
Provides:       python-numeric = %version-%release
%endif
BuildRequires:  python-devel >= 2.4
BuildRequires:  lapack
BuildRequires:  blas
%if 0%{?suse_version}
BuildRequires:  gcc-fortran
%py_requires
%else 
BuildRequires:  gcc-gfortran
%{!?py_sitedir: %global py_sitedir %(%{__python} -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")}
%endif
%if 0%{?suse_version} > 1020
BuildRequires:  fdupes
%endif
Source:         numpy-%{version}.tar.bz2
Source1:        python-numpy-rpmlintrc
Patch1:         numpy-buildfix.patch
BuildRoot:      %{_tmppath}/%{name}-%{version}-build

%description
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays.  NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.


%package devel
License:        BSD
Summary:        Development files for numpy applications
Group:          Development/Libraries/Python
Requires:       %{name} = %{version}
Requires:       python-devel
Requires:       lapack 
Requires:       blas
Requires:       gcc-fortran

%description devel
This package contains files for developing applications using numpy.

%prep
%setup -q -n numpy-%{version}
%patch1 -p0
for i in $(find . -name "*.py"); do 
	sed -i 's|^.*env python$|#!%{_bindir}/python|g' $i
done

%build
env CFLAGS="%{optflags} -fno-strict-aliasing" \
%{__python} setup.py build

%install
%{__python} setup.py install \
            --root="%{buildroot}" \
            --prefix="%{_prefix}"

# make rpmlint happy, add executable flag, even if the file
# should be called by another script
# find %{buildroot}%{py_sitedir}/numpy/ -type f -name "*.py" -print0 | xargs -0 chmod +x 

# save space
%if 0%{?suse_version} > 1020
%fdupes -s %{buildroot}
%endif

%clean
rm -rf %{buildroot}

%files
%defattr(-,root,root)
%doc *.txt
%dir %{py_sitedir}/numpy
%{_bindir}/*
%if 0%{?sles_version} == 0
%if 0%{?suse_version} >= 1020 || 0%{?fedora_version}
%{py_sitedir}/*info
%endif
%endif
%{py_sitedir}/numpy/*
%exclude %{py_sitedir}/numpy/*/*/*.c
# %exclude %{py_sitedir}/numpy/*/*/*/*.c
%exclude %{py_sitedir}/numpy/*/*/*/*/*.c
%exclude %{py_sitedir}/numpy/*/*.h
%exclude %{py_sitedir}/numpy/*/*/*.h
%exclude %{py_sitedir}/numpy/*/*/*/*.h
%exclude %{py_sitedir}/numpy/*/*/*/*/*.h
# %exclude %{py_sitedir}/numpy/*/*/*/*.cxx
# %exclude %{py_sitedir}/numpy/*/*/*/*.cpp

%files devel 
%defattr(-,root,root)
%{py_sitedir}/numpy/*/*/*.c
# %{py_sitedir}/numpy/*/*/*/*.c
%{py_sitedir}/numpy/*/*/*/*/*.c
%{py_sitedir}/numpy/*/*.h
%{py_sitedir}/numpy/*/*/*.h
%{py_sitedir}/numpy/*/*/*/*.h
%{py_sitedir}/numpy/*/*/*/*/*.h
# %{py_sitedir}/numpy/*/*/*/*.cxx
# %{py_sitedir}/numpy/*/*/*/*.cpp

%changelog