%global modname numpy

Name:           numpy
Version:        1.21.4
Release:        8
Epoch:          1
Summary:        A fast multidimensional array facility for Python

License:        ASL 2.0
URL:            http://www.numpy.org/
Source0:        https://files.pythonhosted.org/packages/fb/48/b0708ebd7718a8933f0d3937513ef8ef2f4f04529f1f66ca86d873043921/numpy-1.21.4.zip

BuildRequires:  openblas-devel
BuildRequires:  lapack-devel gcc-gfortran
BuildRequires:  python3-Cython >= 0.29.24
BuildRequires:  python3-hypothesis

Patch0:         backport-CVE-2021-41496.patch
Patch1:         backport-CVE-2021-41495.patch
Patch2:         backport-CVE-2021-34141.patch

Patch1000:      numpy-1.21.4-sw.patch
Patch1001:      add-loongarch-architecture-support.patch
Patch1002:      backport-MAINT-Do-not-forward-__-deep-copy__-calls-of-_Gener.patch

%description
NumPy is the fundamental package for scientific computing with Python. It contains among other things:
a powerful N-dimensional array object
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
useful linear algebra, Fourier transform, and random number capabilities
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

%package -n python3-numpy
Summary:        A fast multidimensional array facility for Python
License:        BSD
%{?python_provide:%python_provide python3-numpy}

BuildRequires:  python3-devel
BuildRequires:  python3-setuptools
BuildRequires:  python3-pytest

Provides:       python3-numpy-doc

%description -n python3-numpy
NumPy is the fundamental package for scientific computing with Python. It contains among other things:
a powerful N-dimensional array object
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
useful linear algebra, Fourier transform, and random number capabilities
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

%package -n python3-numpy-f2py
Summary:        f2py for numpy
Requires:       python3-numpy = %{epoch}:%{version}-%{release}
Requires:       python3-devel
Provides:       python3-f2py = %{version}-%{release}
%{?python_provide:%python_provide python3-numpy-f2py}

%description -n python3-numpy-f2py
This package includes a version of f2py that works properly with NumPy.

%prep
%autosetup -n %{name}-%{version} -p1

rm numpy/distutils/command/__init__.py && touch numpy/distutils/command/__init__.py

cat >> site.cfg <<EOF
[openblas]
library_dirs = %{_libdir}
openblas_libs = openblasp
EOF

rm -rf %{py3dir}
cp -a . %{py3dir}

%build
pushd %{py3dir}
env OPENBLAS=%{_libdir} \
    BLAS=%{_libdir} \
    LAPACK=%{_libdir} CFLAGS="%{optflags}" \
    %{__python3} setup.py build
popd

%install
env OPENBLAS=%{_libdir} \
    FFTW=%{_libdir} BLAS=%{_libdir} \
    LAPACK=%{_libdir} CFLAGS="%{optflags}" \
    %{__python3} setup.py install --root %{buildroot}
pushd %{buildroot}%{_bindir} &> /dev/null

%check
pushd doc &> /dev/null
PYTHONPATH="%{buildroot}%{python3_sitearch}" PYTHONDONTWRITEBYTECODE=1 \
    %{__python3} -c "import pkg_resources, numpy ; numpy.test(verbose=2)"
popd &> /dev/null

%files -n python3-numpy
%license LICENSE.txt
%doc THANKS.txt site.cfg.example
%dir %{python3_sitearch}/%{name}
%{python3_sitearch}/%{name}/*
%{python3_sitearch}/%{name}-*.egg-info
%exclude %{python3_sitearch}/%{name}/LICENSE.txt
%exclude %{python3_sitearch}/%{name}/f2py
%exclude %{python3_sitearch}/%{name}/tests/
%exclude %{python3_sitearch}/%{name}/*/tests/

%files -n python3-numpy-f2py
%{_bindir}/f2py
%{_bindir}/f2py3
%{_bindir}/f2py3.*
%{python3_sitearch}/%{name}/f2py
%exclude %{python3_sitearch}/%{name}/f2py/tests/

%changelog
* Thu Feb 29 2024 liyanan <liyanan61@h-partners.com> - 1:1.21.4-8
- Type:bugfix
- CVE:NA
- SUG:NA
- DESC:make the test check

* Thu Feb 01 2024 shixuantong <shixuantong1@huawei.com> - 1:1.21.4-7
- Do not pack open-source test case files

* Mon Oct 30 2023 Qiang Wei <qiang.wei@suse.com> - 1:1.21.4-6
- Remove f2py from numpy package. It is in numpy-f2py pakcage.

* Thu Aug 17 2023 yangchenguang <yangchenguang@kylinsec.com.cn> - 1:1.21.4-5
- Add loongarch64 and sw_64 support

* Thu May 26 2022 renhongxun <renhongxun@h-partners.com> - 1.21.4-4
- fix CVE-2021-34141

* Tue Feb 08 2022 renhongxun <renhongxun@h-partners.com> - 1.21.4-3
- fix CVE-2021-41495

* Tue Jan 04 2022 yuanxin <yuanxin24@huawei.com> - 1.21.4-2
- fix CVE-2021-41496 

* Fri Dec 24 2021 yuanxin <yuanxin24@huawei.com> - 1.21.4-1
- update version to 1.21.4

* Tue Aug 24 2021 wulei<wulei80@huawei.com> - 1.18.5-1
- update to 1.18.5

* Mon Jan 18 2021 tianwei<tianwei12@huawei.com> - 1.16.5-6
- Type:NA
- ID:N/A
- SUGA:NA
- DESC:fix package files

* Fri Oct 30 2020 tianwei<tianwei12@huawei.com> - 1.16.5-5
- Type:NA
- ID:N/A
- SUGA:NA
- DESC:remove python2 

* Tue Sep 22 2020 shixuantong<shixuantong> - 1.16.5-4
- Type:NA
- ID:N/A
- SUGA:NA
- DESC:remove python-nose

* Sat Jun 20 2020 fuyangqing<fuyangqing@huawei.com> - 1.16.5-3
- Type:bugfix
- ID:N/A
- SUGA:NA
- DESC:change spec hardcode the dependent python version number

* Tue Oct 22 2019 openEuler Buildteam <buildteam@openeuler.org> - 1.16.5-1
- Package init