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|
%global _empty_manifest_terminate_build 0
Name: python-ducc0
Version: 0.30.0
Release: 1
Summary: Distinctly useful code collection: contains efficient algorithms for Fast Fourier (and related) transforms, spherical harmonic transforms involving very general spherical grids, gridding/degridding tools for radio interferometry, 4pi spherical convolution operators and much more.
License: GPLv2+
URL: https://gitlab.mpcdf.mpg.de/mtr/ducc
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1b/fe/74f92eaf5d19d9e7f49aa3f0ec0c8436ec461df4808975e17470045670cc/ducc0-0.30.0.tar.gz
Requires: python3-numpy
%description
This is a collection of basic programming tools for numerical computation,
including Fast Fourier Transforms, Spherical Harmonic Transforms, non-equispaced
Fourier transforms, as well as some concrete applications like 4pi convolution
on the sphere and gridding/degridding of radio interferometry data.
The code is written in C++17, but provides a simple and comprehensive Python
interface.
### Requirements
- [Python >= 3.7](https://www.python.org/)
- only when compiling from source: [pybind11](https://github.com/pybind/pybind11)
- only when compiling from source: a C++17-capable compiler, e.g.
- `g++` 7 or later
- `clang++`
- MSVC 2019 or later
- Intel `icpx` (oneAPI compiler series). (Note that the older `icpc` compilers
are not supported.)
### Sources
The latest version of DUCC can be obtained by cloning the repository via
git clone https://gitlab.mpcdf.mpg.de/mtr/ducc.git
### Licensing terms
- All source code in this package is released under the terms of the GNU
General Public License v2 or later.
- Some files (those constituting the FFT component and its internal
dependencies) are also licensed under the 3-clause BSD license. These files
contain two sets of licensing headers; the user is free to choose under which
of those terms they want to use these sources.
### Documentation
Online documentation of the most recent Python interface is available at
https://mtr.pages.mpcdf.de/ducc.
The C++ interface is documented at https://mtr.pages.mpcdf.de/ducc/cpp.
Please note that this interface is not as well documented as the Python one,
and that it should not be considered stable.
### Installation
For best performance, it is recommended to compile DUCC from source, optimizing
for the specific CPU on the system. This can be done using the command
pip3 install --no-binary ducc0 --user ducc0
NOTE: compilation requires the appropriate compilers to be installed (see above)
and can take a significant amount of time (several minutes).
Alternatively, a simple
pip3 install --user ducc0
will install a pre-compiled binary package, which makes the installation process
much quicker and does not require any compilers to be installed on the system.
However, the code will most likely perform significantly worse (by a factor of
two to three for some functions) than a custom built version.
Additionally, pre-compiled binaries are distributed for the following systems:
<a href="https://repology.org/project/python:ducc0/versions">
<img src="https://repology.org/badge/vertical-allrepos/python:ducc0.svg" alt="Packaging status">
</a>
<!---
%package -n python3-ducc0
Summary: Distinctly useful code collection: contains efficient algorithms for Fast Fourier (and related) transforms, spherical harmonic transforms involving very general spherical grids, gridding/degridding tools for radio interferometry, 4pi spherical convolution operators and much more.
Provides: python-ducc0
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-ducc0
This is a collection of basic programming tools for numerical computation,
including Fast Fourier Transforms, Spherical Harmonic Transforms, non-equispaced
Fourier transforms, as well as some concrete applications like 4pi convolution
on the sphere and gridding/degridding of radio interferometry data.
The code is written in C++17, but provides a simple and comprehensive Python
interface.
### Requirements
- [Python >= 3.7](https://www.python.org/)
- only when compiling from source: [pybind11](https://github.com/pybind/pybind11)
- only when compiling from source: a C++17-capable compiler, e.g.
- `g++` 7 or later
- `clang++`
- MSVC 2019 or later
- Intel `icpx` (oneAPI compiler series). (Note that the older `icpc` compilers
are not supported.)
### Sources
The latest version of DUCC can be obtained by cloning the repository via
git clone https://gitlab.mpcdf.mpg.de/mtr/ducc.git
### Licensing terms
- All source code in this package is released under the terms of the GNU
General Public License v2 or later.
- Some files (those constituting the FFT component and its internal
dependencies) are also licensed under the 3-clause BSD license. These files
contain two sets of licensing headers; the user is free to choose under which
of those terms they want to use these sources.
### Documentation
Online documentation of the most recent Python interface is available at
https://mtr.pages.mpcdf.de/ducc.
The C++ interface is documented at https://mtr.pages.mpcdf.de/ducc/cpp.
Please note that this interface is not as well documented as the Python one,
and that it should not be considered stable.
### Installation
For best performance, it is recommended to compile DUCC from source, optimizing
for the specific CPU on the system. This can be done using the command
pip3 install --no-binary ducc0 --user ducc0
NOTE: compilation requires the appropriate compilers to be installed (see above)
and can take a significant amount of time (several minutes).
Alternatively, a simple
pip3 install --user ducc0
will install a pre-compiled binary package, which makes the installation process
much quicker and does not require any compilers to be installed on the system.
However, the code will most likely perform significantly worse (by a factor of
two to three for some functions) than a custom built version.
Additionally, pre-compiled binaries are distributed for the following systems:
<a href="https://repology.org/project/python:ducc0/versions">
<img src="https://repology.org/badge/vertical-allrepos/python:ducc0.svg" alt="Packaging status">
</a>
<!---
%package help
Summary: Development documents and examples for ducc0
Provides: python3-ducc0-doc
%description help
This is a collection of basic programming tools for numerical computation,
including Fast Fourier Transforms, Spherical Harmonic Transforms, non-equispaced
Fourier transforms, as well as some concrete applications like 4pi convolution
on the sphere and gridding/degridding of radio interferometry data.
The code is written in C++17, but provides a simple and comprehensive Python
interface.
### Requirements
- [Python >= 3.7](https://www.python.org/)
- only when compiling from source: [pybind11](https://github.com/pybind/pybind11)
- only when compiling from source: a C++17-capable compiler, e.g.
- `g++` 7 or later
- `clang++`
- MSVC 2019 or later
- Intel `icpx` (oneAPI compiler series). (Note that the older `icpc` compilers
are not supported.)
### Sources
The latest version of DUCC can be obtained by cloning the repository via
git clone https://gitlab.mpcdf.mpg.de/mtr/ducc.git
### Licensing terms
- All source code in this package is released under the terms of the GNU
General Public License v2 or later.
- Some files (those constituting the FFT component and its internal
dependencies) are also licensed under the 3-clause BSD license. These files
contain two sets of licensing headers; the user is free to choose under which
of those terms they want to use these sources.
### Documentation
Online documentation of the most recent Python interface is available at
https://mtr.pages.mpcdf.de/ducc.
The C++ interface is documented at https://mtr.pages.mpcdf.de/ducc/cpp.
Please note that this interface is not as well documented as the Python one,
and that it should not be considered stable.
### Installation
For best performance, it is recommended to compile DUCC from source, optimizing
for the specific CPU on the system. This can be done using the command
pip3 install --no-binary ducc0 --user ducc0
NOTE: compilation requires the appropriate compilers to be installed (see above)
and can take a significant amount of time (several minutes).
Alternatively, a simple
pip3 install --user ducc0
will install a pre-compiled binary package, which makes the installation process
much quicker and does not require any compilers to be installed on the system.
However, the code will most likely perform significantly worse (by a factor of
two to three for some functions) than a custom built version.
Additionally, pre-compiled binaries are distributed for the following systems:
<a href="https://repology.org/project/python:ducc0/versions">
<img src="https://repology.org/badge/vertical-allrepos/python:ducc0.svg" alt="Packaging status">
</a>
<!---
%prep
%autosetup -n ducc0-0.30.0
%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-ducc0 -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.30.0-1
- Package Spec generated
|
