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|
%global _empty_manifest_terminate_build 0
Name: python-pyinterp
Version: 2023.2.1
Release: 1
Summary: Interpolation of geo-referenced data for Python.
License: BSD License
URL: https://github.com/CNES/pangeo-pyinterp
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/22/60/59f70b5caaf5515e53cd31982f45079e65053cdc31689099ca1ab60cb34e/pyinterp-2023.2.1.tar.gz
BuildArch: noarch
%description
The motivation of this project is to provide tools for interpolating
geo-referenced data used in the field of geosciences. Other libraries cover this
problem, but written entirely in Python, the performance of these projects was
not quite sufficient for our needs. That is why this project started.
With this library, you can interpolate `2D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid2D.html#pyinterp.grid.Grid2D>`_,
`3D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid3D.html#pyinterp.grid.Grid3D>`_,
or `4D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid4D.html#pyinterp.grid.Grid4D>`_
fields using ``n-variate`` and ``bicubic`` `interpolators
<https://pangeo-pyinterp.readthedocs.io/en/latest/api.html#cartesian-interpolators>`_
and `unstructured grids
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.RTree.html>`_.
You can also apply for a data `binning
<https://pangeo-pyinterp.readthedocs.io/en/latest/api.html#binning>`_ on the
bivariate area by simple or linear binning.
The library core is written in C++ using the `Boost C++ Libraries
<https://www.boost.org/>`_, `Eigen3 <http://eigen.tuxfamily.org/>`_, `GNU
Scientific Library <https://www.gnu.org/software/gsl/>`_, and `pybind11
<https://github.com/pybind/pybind11/>`_ libraries.
This software also uses `CMake <https://cmake.org/>`_ to configure the project
and `Googletest <https://github.com/google/googletest>`_ to perform unit testing
of the library kernel.
%package -n python3-pyinterp
Summary: Interpolation of geo-referenced data for Python.
Provides: python-pyinterp
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pyinterp
The motivation of this project is to provide tools for interpolating
geo-referenced data used in the field of geosciences. Other libraries cover this
problem, but written entirely in Python, the performance of these projects was
not quite sufficient for our needs. That is why this project started.
With this library, you can interpolate `2D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid2D.html#pyinterp.grid.Grid2D>`_,
`3D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid3D.html#pyinterp.grid.Grid3D>`_,
or `4D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid4D.html#pyinterp.grid.Grid4D>`_
fields using ``n-variate`` and ``bicubic`` `interpolators
<https://pangeo-pyinterp.readthedocs.io/en/latest/api.html#cartesian-interpolators>`_
and `unstructured grids
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.RTree.html>`_.
You can also apply for a data `binning
<https://pangeo-pyinterp.readthedocs.io/en/latest/api.html#binning>`_ on the
bivariate area by simple or linear binning.
The library core is written in C++ using the `Boost C++ Libraries
<https://www.boost.org/>`_, `Eigen3 <http://eigen.tuxfamily.org/>`_, `GNU
Scientific Library <https://www.gnu.org/software/gsl/>`_, and `pybind11
<https://github.com/pybind/pybind11/>`_ libraries.
This software also uses `CMake <https://cmake.org/>`_ to configure the project
and `Googletest <https://github.com/google/googletest>`_ to perform unit testing
of the library kernel.
%package help
Summary: Development documents and examples for pyinterp
Provides: python3-pyinterp-doc
%description help
The motivation of this project is to provide tools for interpolating
geo-referenced data used in the field of geosciences. Other libraries cover this
problem, but written entirely in Python, the performance of these projects was
not quite sufficient for our needs. That is why this project started.
With this library, you can interpolate `2D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid2D.html#pyinterp.grid.Grid2D>`_,
`3D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid3D.html#pyinterp.grid.Grid3D>`_,
or `4D
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.grid.Grid4D.html#pyinterp.grid.Grid4D>`_
fields using ``n-variate`` and ``bicubic`` `interpolators
<https://pangeo-pyinterp.readthedocs.io/en/latest/api.html#cartesian-interpolators>`_
and `unstructured grids
<https://pangeo-pyinterp.readthedocs.io/en/latest/generated/pyinterp.RTree.html>`_.
You can also apply for a data `binning
<https://pangeo-pyinterp.readthedocs.io/en/latest/api.html#binning>`_ on the
bivariate area by simple or linear binning.
The library core is written in C++ using the `Boost C++ Libraries
<https://www.boost.org/>`_, `Eigen3 <http://eigen.tuxfamily.org/>`_, `GNU
Scientific Library <https://www.gnu.org/software/gsl/>`_, and `pybind11
<https://github.com/pybind/pybind11/>`_ libraries.
This software also uses `CMake <https://cmake.org/>`_ to configure the project
and `Googletest <https://github.com/google/googletest>`_ to perform unit testing
of the library kernel.
%prep
%autosetup -n pyinterp-2023.2.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-pyinterp -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2023.2.1-1
- Package Spec generated
|
