#
# spec file for package python-numpy
#
# Copyright (c) 2014 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/
#


%define with_atlas 0

Name:           python-numpy
Version:        1.8.2
Release:        0
Url:            http://www.numpy.org/
Summary:        NumPy array processing for numbers, strings, records and objects
License:        BSD-3-Clause
Group:          Development/Libraries/Python
Source:         https://pypi.python.org/packages/source/n/numpy/numpy-%{version}.tar.gz
Patch0:         numpy-buildfix.patch
Patch1:         numpy-double-double-le.patch
BuildRoot:      %{_tmppath}/%{name}-%{version}-build
BuildRequires:  blas-devel
BuildRequires:  lapack-devel
BuildRequires:  python-devel >= 2.6
Requires:       python >= %{py_ver}
Provides:       numpy = %{version}
%if %{with_atlas} == 1
BuildRequires:  libatlas3-devel
%endif
%if 0%{?suse_version}
BuildRequires:  fdupes
BuildRequires:  gcc-fortran
%if 0%{?suse_version} <= 1110
%{!?python_sitearch: %global python_sitearch %(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")}
%else
%py_requires
%endif
%else
BuildRequires:  gcc-gfortran
%if ! 0%{?fedora_version}
Provides:       python-numeric = %{version}
Obsoletes:      python-numeric < %{version}
%endif
%endif

%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:       blas-devel
Requires:       lapack-devel
Requires:       python-devel >= %{py_ver}
%if 0%{?suse_version}
Requires:       gcc-fortran
%py_requires -d
%else
Requires:       gcc-gfortran
%endif
%if %{with_atlas} == 1
Requires:       libatlas3-devel
%endif

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

%prep
%setup -q -n numpy-%{version}
%patch0 -p1
%patch1
# Fix non-executable scripts
sed -i "1d" numpy/{compat/setup,distutils/{conv_template,cpuinfo,exec_command,from_template,setup,system_info},f2py/{auxfuncs,capi_maps,cb_rules,cfuncs,common_rules,crackfortran,diagnose,docs/usersguide/setup_example,f2py2e,f90mod_rules,func2subr,__init__,rules,setup,use_rules},ma/setup,matrixlib/setup,setup,testing/{print_coercion_tables,setup}}.py

%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
%if 0%{?suse_version}
%fdupes -s %{buildroot}%{_prefix}
%endif

%files
%defattr(-,root,root)
%doc *.txt
%{_bindir}/f2py
%{python_sitearch}/numpy/
%{python_sitearch}/numpy-%{version}-py*.egg-info
%exclude %{python_sitearch}/numpy/*/*/*.c
%exclude %{python_sitearch}/numpy/*/*.h
%exclude %{python_sitearch}/numpy/*/*/*.h
%exclude %{python_sitearch}/numpy/*/*/*/*.h
%exclude %{python_sitearch}/numpy/core/lib/libnpymath.a

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

%changelog