#
# spec file for package python-numpy
#
# Copyright (c) 2011 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
Version:        1.6.1
Release:        0
Url:            http://sourceforge.net/projects/numpy
Summary:        NumPy array processing for numbers, strings, records and objects
License:        BSD-3-Clause
Group:          Development/Libraries/Python
Source:         numpy-%{version}.tar.gz
Patch1:         numpy-buildfix.patch
BuildRoot:      %{_tmppath}/%{name}-%{version}-build
BuildRequires:  python-devel
BuildRequires:  lapack
BuildRequires:  blas
%if 0%{?suse_version}
BuildRequires:  gcc-fortran
%py_requires
%if 0%{?suse_version} > 1020
BuildRequires:  fdupes
%endif
%else
BuildRequires:  gcc-gfortran
%endif
Provides:       numpy = %{version}
%if ! 0%{?fedora_version}
Provides:       python-numeric = %{version}
Obsoletes:      python-numeric < %{version}
%endif
%{!?python_sitearch: %global python_sitearch %(%{__python} -c "from distutils.sysconfig import get_python_lib; print get_python_lib(1)")}

%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
Summary:        Development files for numpy applications
Group:          Development/Libraries/Python
Requires:       %{name} = %{version}
Requires:       python-devel
Requires:       lapack
Requires:       blas
%if 0%{?suse_version}
Requires:       gcc-fortran
%else
BuildRequires:  gcc-gfortran
%endif

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

%prep
%setup -q -n numpy-%{version}
%patch1 -p0
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

%build
CFLAGS="%{optflags} -fno-strict-aliasing" python setup.py build

%install
python setup.py install --root="%{buildroot}" --prefix="%{_prefix}"
rm -rf %{buildroot}%{python_sitearch}/numpy/{,core,distutils,f2py,fft,ma,matrixlib,oldnumeric,polynomial,random,testing}/tests # Don't package testsuite
rm -rf %{buildroot}%{python_sitearch}/numpy/core/lib/libnpymath.a # Don't package static libs
%if 0%{?suse_version} > 1020
%fdupes -s %{buildroot}%{_prefix}
%endif

%files
%defattr(-,root,root)
%doc *.txt
%{_bindir}/*
%{python_sitearch}/*
%exclude %{python_sitearch}/numpy/*/*/*.c
%exclude %{python_sitearch}/numpy/*/*.h
%exclude %{python_sitearch}/numpy/*/*/*.h
%exclude %{python_sitearch}/numpy/*/*/*/*.h

%files devel
%defattr(-,root,root)
%{python_sitearch}/numpy/*/*/*.c
%{python_sitearch}/numpy/*/*.h
%{python_sitearch}/numpy/*/*/*.h
%{python_sitearch}/numpy/*/*/*/*.h

%changelog