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update the specfile for python3 build [release 1.10.4-2mamba;Thu Mar 17 2016]

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Davide Madrisan 2024-01-06 11:31:42 +01:00
parent 37680ba53a
commit 5ec7d11d13
2 changed files with 47 additions and 42 deletions
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8
README.md
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@ -1,11 +1,13 @@
# python-numpy
NumPy is the fundamental package needed for scientific computing with Python. It contains among other things:
NumPy is the fundamental package needed 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.
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.

55
python-numpy.spec
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@ -1,7 +1,7 @@
Name: python-numpy
Version: 1.10.4
Release: 1mamba
Summary: NumPy: array processing for numbers, strings, records, and objects
Release: 2mamba
Summary: NumPy: Scientific computing with Python NumPy
Group: System/Libraries/Python
Vendor: openmamba
Distribution: openmamba
@ -11,32 +11,32 @@ Source: http://downloads.sourceforge.net/project/numpy/NumPy/%{version}/n
License: BSD
## AUTOBUILDREQ-BEGIN
BuildRequires: glibc-devel
BuildRequires: libblas-devel
%ifnarch arm
BuildRequires: libquadmath-devel
%endif
BuildRequires: liblapack-devel
BuildRequires: libpython-devel
## AUTOBUILDREQ-END
BuildRequires: gcc-fortran
%py_requires
Requires: python >= %python_version
BuildRoot: %{_tmppath}/%{name}-%{version}-root
%description
NumPy is the fundamental package needed for scientific computing with Python. It contains among other things:
NumPy is the fundamental package needed 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.
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.
%if "%?with_pyver"
%define pyver %{with_pyver}
%define __python %(rpm --eval %{__python%{with_pyver}})
%define python_sitearch %(rpm --eval %{python%{with_pyver}_sitearch})
%define python_sitelib %(rpm --eval %{python%{with_pyver}_sitelib})
%define python_inc %(rpm --eval %{python%{with_pyver}_inc})
%define python_version %(rpm --eval %{python%{with_pyver}_version})
%define python_provides %(rpm --eval %{python%{with_pyver}_provides})
%define python_requires %(rpm --eval %{python%{with_pyver}_requires})
%define py_requires %(rpm --eval %{py%{with_pyver}_requires})
%if 0%{?with_pyver}
%pyver_package
%endif
%package py%{pyver}
Group: System/Libraries/Python
@ -44,15 +44,16 @@ Summary: NumPy: array processing for numbers, strings, records, and object
%py_requires
%description py%{pyver}
NumPy is the fundamental package needed for scientific computing with Python. It contains among other things:
NumPy is the fundamental package needed 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.
%endif
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.
%prep
%setup -q -n numpy-%{version}
@ -64,24 +65,26 @@ CFLAGS="%{optflags}" %{__python} setup.py build
[ "%{buildroot}" != / ] && rm -rf "%{buildroot}"
%{__python} setup.py install \
--root="%{buildroot}" \
--install-headers=%{_includedir}/python \
--install-headers=%{python_inc} \
--install-lib=%{python_sitearch}
install -D -p -m 0644 doc/f2py/f2py.1 %{buildroot}%{_mandir}/man1/f2py%{pyver}.1
%clean
[ "%{buildroot}" != / ] && rm -rf "%{buildroot}"
%if "%?with_pyver"
%files py%{pyver}
%else
%files
%endif
%files %{?pyappend}
%defattr(-,root,root)
%{_bindir}/f2py*
%{_mandir}/man1/f2py*
%dir %{python_sitearch}/numpy
%{python_sitearch}/numpy/*
%{python_sitearch}/numpy-%{version}-py*.egg-info
%changelog
* Thu Mar 17 2016 Davide Madrisan <davide.madrisan@gmail.com> 1.10.4-2mamba
- update the specfile for python3 build
* Thu Jan 14 2016 Automatic Build System <autodist@mambasoft.it> 1.10.4-1mamba
- automatic version update by autodist