How to Install and Uninstall python38-lzmaffi Package on openSuSE Tumbleweed
Last updated: December 25,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-lzmaffi" package
Here is a brief guide to show you how to install python38-lzmaffi on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python38-lzmaffi
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2. Uninstall "python38-lzmaffi" package
This is a short guide on how to uninstall python38-lzmaffi on openSuSE Tumbleweed:
$
sudo zypper remove
python38-lzmaffi
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3. Information about the python38-lzmaffi package on openSuSE Tumbleweed
Information for package python38-lzmaffi:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-lzmaffi
Version : 0.3.0-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 208,7 KiB
Installed : No
Status : not installed
Source package : python-lzmaffi-0.3.0-2.6.src
Summary : Port of Python 3.3's 'lzma' module for XZ/LZMA compressed files to cffi
Description :
This is a port of the 'lzma' module included in Python 3.3 or later
by Nadeem Vawda and Per Oyvind Karlsen, which provides a Python wrapper for XZ Utils
(aka LZMA Utils v2) by Igor Pavlov.
Unlike backports.lzma which is a straight backport, this version uses cffi which means
it runs on PyPy without having to use the (very slow) CPyExt. It also runs perfectly
well on CPython 2.6, 2.7 or 3.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-lzmaffi
Version : 0.3.0-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 208,7 KiB
Installed : No
Status : not installed
Source package : python-lzmaffi-0.3.0-2.6.src
Summary : Port of Python 3.3's 'lzma' module for XZ/LZMA compressed files to cffi
Description :
This is a port of the 'lzma' module included in Python 3.3 or later
by Nadeem Vawda and Per Oyvind Karlsen, which provides a Python wrapper for XZ Utils
(aka LZMA Utils v2) by Igor Pavlov.
Unlike backports.lzma which is a straight backport, this version uses cffi which means
it runs on PyPy without having to use the (very slow) CPyExt. It also runs perfectly
well on CPython 2.6, 2.7 or 3.