How to Install and Uninstall python36-smmap Package on openSuSE Tumbleweed
Last updated: December 24,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-smmap" package
Please follow the instructions below to install python36-smmap on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python36-smmap
Copied
2. Uninstall "python36-smmap" package
In this section, we are going to explain the necessary steps to uninstall python36-smmap on openSuSE Tumbleweed:
$
sudo zypper remove
python36-smmap
Copied
3. Information about the python36-smmap package on openSuSE Tumbleweed
Information for package python36-smmap:
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-smmap
Version : 4.0.0-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 157,6 KiB
Installed : No
Status : not installed
Source package : python-smmap-4.0.0-1.2.src
Summary : A pure git 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 : python36-smmap
Version : 4.0.0-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 157,6 KiB
Installed : No
Status : not installed
Source package : python-smmap-4.0.0-1.2.src
Summary : A pure git 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