How to Install and Uninstall python38-pyFFTW Package on openSuSE Tumbleweed
Last updated: December 24,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-pyFFTW" package
Please follow the steps below to install python38-pyFFTW on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python38-pyFFTW
Copied
2. Uninstall "python38-pyFFTW" package
Please follow the guidance below to uninstall python38-pyFFTW on openSuSE Tumbleweed:
$
sudo zypper remove
python38-pyFFTW
Copied
3. Information about the python38-pyFFTW package on openSuSE Tumbleweed
Information for package python38-pyFFTW:
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-pyFFTW
Version : 0.12.0-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 471,7 KiB
Installed : No
Status : not installed
Source package : python-pyFFTW-0.12.0-2.6.src
Summary : A pythonic wrapper around FFTW, the FFT library
Description :
pyFFTW is a pythonic wrapper around the FFTW libary.
An interface for all the possible transforms that FFTW can perform is provided.
Both the complex DFT and the real DFT are supported, as well as arbitrary
axes of abitrary 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.
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-pyFFTW
Version : 0.12.0-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 471,7 KiB
Installed : No
Status : not installed
Source package : python-pyFFTW-0.12.0-2.6.src
Summary : A pythonic wrapper around FFTW, the FFT library
Description :
pyFFTW is a pythonic wrapper around the FFTW libary.
An interface for all the possible transforms that FFTW can perform is provided.
Both the complex DFT and the real DFT are supported, as well as arbitrary
axes of abitrary 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.