How to Install and Uninstall python2-pyFFTW Package on openSUSE Leap
Last updated: November 23,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python2-pyFFTW" package
Please follow the guidelines below to install python2-pyFFTW on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python2-pyFFTW
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2. Uninstall "python2-pyFFTW" package
This guide let you learn how to uninstall python2-pyFFTW on openSUSE Leap:
$
sudo zypper remove
python2-pyFFTW
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3. Information about the python2-pyFFTW package on openSUSE Leap
Information for package python2-pyFFTW:
---------------------------------------
Repository : Main Repository
Name : python2-pyFFTW
Version : 0.12.0-bp153.1.19
Arch : x86_64
Vendor : openSUSE
Installed Size : 581,0 KiB
Installed : No
Status : not installed
Source package : python-pyFFTW-0.12.0-bp153.1.19.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 : Main Repository
Name : python2-pyFFTW
Version : 0.12.0-bp153.1.19
Arch : x86_64
Vendor : openSUSE
Installed Size : 581,0 KiB
Installed : No
Status : not installed
Source package : python-pyFFTW-0.12.0-bp153.1.19.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.