How to Install and Uninstall python310-pyFFTW Package on openSuSE Tumbleweed
Last updated: November 14,2024
1. Install "python310-pyFFTW" package
In this section, we are going to explain the necessary steps to install python310-pyFFTW on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-pyFFTW
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2. Uninstall "python310-pyFFTW" package
This guide covers the steps necessary to uninstall python310-pyFFTW on openSuSE Tumbleweed:
$
sudo zypper remove
python310-pyFFTW
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3. Information about the python310-pyFFTW package on openSuSE Tumbleweed
Information for package python310-pyFFTW:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-pyFFTW
Version : 0.13.1-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 582.9 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 : python310-pyFFTW
Version : 0.13.1-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 582.9 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.