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|
%global _empty_manifest_terminate_build 0
Name: python-pyFFTW
Version: 0.13.1
Release: 1
Summary: A pythonic wrapper around FFTW, the FFT library, presenting a unified interface for all the supported transforms.
License: BSD License
URL: https://github.com/pyFFTW/pyFFTW
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9f/bc/7376df0393e816b60bdc627fc8f653706f4caa95bcf79d07302a672f893e/pyFFTW-0.13.1.tar.gz
Requires: python3-numpy
Requires: python3-numpy
Requires: python3-dask[array]
Requires: python3-scipy
%description
pyFFTW is a pythonic wrapper around `FFTW <http://www.fftw.org/>`_, the
speedy FFT library. The ultimate aim is to present a unified interface for all
the possible transforms that FFTW can perform.
Both the complex DFT and the real DFT are supported, as well as arbitrary
axes of arbitrary shaped and strided arrays, which makes it almost
feature equivalent to standard and real FFT functions of ``numpy.fft``
(indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not).
Operating FFTW in multithreaded mode is supported.
A comprehensive unittest suite can be found with the source on the github
repository.
To build for windows from source, download the fftw dlls for your system
and the header file from here (they're in a zip file):
http://www.fftw.org/install/windows.html and place them in the pyfftw
directory. The files are libfftw3-3.dll, libfftw3l-3.dll, libfftw3f-3.dll
and libfftw3.h.
Under linux, to build from source, the FFTW library must be installed already.
This should probably work for OSX, though I've not tried it.
Numpy is a dependency for both.
The documentation can be found
`here <http://pyfftw.readthedocs.io>`_, and the source
is on `github <https://github.com/pyFFTW/pyFFTW>`_.
%package -n python3-pyFFTW
Summary: A pythonic wrapper around FFTW, the FFT library, presenting a unified interface for all the supported transforms.
Provides: python-pyFFTW
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-pyFFTW
pyFFTW is a pythonic wrapper around `FFTW <http://www.fftw.org/>`_, the
speedy FFT library. The ultimate aim is to present a unified interface for all
the possible transforms that FFTW can perform.
Both the complex DFT and the real DFT are supported, as well as arbitrary
axes of arbitrary shaped and strided arrays, which makes it almost
feature equivalent to standard and real FFT functions of ``numpy.fft``
(indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not).
Operating FFTW in multithreaded mode is supported.
A comprehensive unittest suite can be found with the source on the github
repository.
To build for windows from source, download the fftw dlls for your system
and the header file from here (they're in a zip file):
http://www.fftw.org/install/windows.html and place them in the pyfftw
directory. The files are libfftw3-3.dll, libfftw3l-3.dll, libfftw3f-3.dll
and libfftw3.h.
Under linux, to build from source, the FFTW library must be installed already.
This should probably work for OSX, though I've not tried it.
Numpy is a dependency for both.
The documentation can be found
`here <http://pyfftw.readthedocs.io>`_, and the source
is on `github <https://github.com/pyFFTW/pyFFTW>`_.
%package help
Summary: Development documents and examples for pyFFTW
Provides: python3-pyFFTW-doc
%description help
pyFFTW is a pythonic wrapper around `FFTW <http://www.fftw.org/>`_, the
speedy FFT library. The ultimate aim is to present a unified interface for all
the possible transforms that FFTW can perform.
Both the complex DFT and the real DFT are supported, as well as arbitrary
axes of arbitrary shaped and strided arrays, which makes it almost
feature equivalent to standard and real FFT functions of ``numpy.fft``
(indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not).
Operating FFTW in multithreaded mode is supported.
A comprehensive unittest suite can be found with the source on the github
repository.
To build for windows from source, download the fftw dlls for your system
and the header file from here (they're in a zip file):
http://www.fftw.org/install/windows.html and place them in the pyfftw
directory. The files are libfftw3-3.dll, libfftw3l-3.dll, libfftw3f-3.dll
and libfftw3.h.
Under linux, to build from source, the FFTW library must be installed already.
This should probably work for OSX, though I've not tried it.
Numpy is a dependency for both.
The documentation can be found
`here <http://pyfftw.readthedocs.io>`_, and the source
is on `github <https://github.com/pyFFTW/pyFFTW>`_.
%prep
%autosetup -n pyFFTW-0.13.1
%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-pyFFTW -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.13.1-1
- Package Spec generated
|
