How to Install and Uninstall python311-pyFFTW Package on openSuSE Tumbleweed
Last updated: November 12,2024
1. Install "python311-pyFFTW" package
Learn how to install python311-pyFFTW on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-pyFFTW
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2. Uninstall "python311-pyFFTW" package
Please follow the guidelines below to uninstall python311-pyFFTW on openSuSE Tumbleweed:
$
sudo zypper remove
python311-pyFFTW
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3. Information about the python311-pyFFTW package on openSuSE Tumbleweed
Information for package python311-pyFFTW:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-pyFFTW
Version : 0.13.1-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 619.0 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 : python311-pyFFTW
Version : 0.13.1-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 619.0 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.