How to Install and Uninstall python312-smmap Package on openSuSE Tumbleweed
Last updated: November 08,2024
1. Install "python312-smmap" package
Please follow the guidelines below to install python312-smmap on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-smmap
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2. Uninstall "python312-smmap" package
Please follow the guidelines below to uninstall python312-smmap on openSuSE Tumbleweed:
$
sudo zypper remove
python312-smmap
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3. Information about the python312-smmap package on openSuSE Tumbleweed
Information for package python312-smmap:
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-smmap
Version : 5.0.1-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 198.5 KiB
Installed : No
Status : not installed
Source package : python-smmap-5.0.1-1.4.src
Upstream URL : https://github.com/gitpython-developers/smmap
Summary : A pure python implementation of a sliding window memory map manager
Description :
When reading from many possibly large files in a fashion similar to random
access, it is usually the fastest and most efficient to use memory maps.
Although memory maps have many advantages, they represent a very limited
system resource as every map uses one file descriptor, whose amount is
limited per process. On 32 bit systems, the amount of memory you can have
mapped at a time is naturally limited to theoretical 4GB of memory, which
may not be enough for some applications.
The documentation can be found here: http://packages.python.org/smmap
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-smmap
Version : 5.0.1-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 198.5 KiB
Installed : No
Status : not installed
Source package : python-smmap-5.0.1-1.4.src
Upstream URL : https://github.com/gitpython-developers/smmap
Summary : A pure python implementation of a sliding window memory map manager
Description :
When reading from many possibly large files in a fashion similar to random
access, it is usually the fastest and most efficient to use memory maps.
Although memory maps have many advantages, they represent a very limited
system resource as every map uses one file descriptor, whose amount is
limited per process. On 32 bit systems, the amount of memory you can have
mapped at a time is naturally limited to theoretical 4GB of memory, which
may not be enough for some applications.
The documentation can be found here: http://packages.python.org/smmap