How to Install and Uninstall python39-pyFFTW Package on openSuSE Tumbleweed
Last updated: December 27,2024
1. Install "python39-pyFFTW" package
This is a short guide on how to install python39-pyFFTW on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-pyFFTW
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2. Uninstall "python39-pyFFTW" package
This tutorial shows how to uninstall python39-pyFFTW on openSuSE Tumbleweed:
$
sudo zypper remove
python39-pyFFTW
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3. Information about the python39-pyFFTW package on openSuSE Tumbleweed
Information for package python39-pyFFTW:
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-pyFFTW
Version : 0.13.1-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 586.7 KiB
Installed : No
Status : not installed
Source package : python-pyFFTW-0.13.1-3.1.src
Upstream URL : https://github.com/pyFFTW/pyFFTW
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 : python39-pyFFTW
Version : 0.13.1-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 586.7 KiB
Installed : No
Status : not installed
Source package : python-pyFFTW-0.13.1-3.1.src
Upstream URL : https://github.com/pyFFTW/pyFFTW
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.