How to Install and Uninstall python311-concurrentloghandler Package on openSuSE Tumbleweed
Last updated: November 14,2024
1. Install "python311-concurrentloghandler" package
In this section, we are going to explain the necessary steps to install python311-concurrentloghandler on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-concurrentloghandler
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2. Uninstall "python311-concurrentloghandler" package
This is a short guide on how to uninstall python311-concurrentloghandler on openSuSE Tumbleweed:
$
sudo zypper remove
python311-concurrentloghandler
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3. Information about the python311-concurrentloghandler package on openSuSE Tumbleweed
Information for package python311-concurrentloghandler:
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Repository : openSUSE-Tumbleweed-Oss
Name : python311-concurrentloghandler
Version : 0.9.19-2.14
Arch : noarch
Vendor : openSUSE
Installed Size : 85.1 KiB
Installed : No
Status : not installed
Source package : python-concurrentloghandler-0.9.19-2.14.src
Upstream URL : https://github.com/Preston-Landers/concurrent-log-handler
Summary : Concurrent logging handler
Description :
This module provides an additional log handler for Python's
standard logging package (PEP 282). This handler will write log
events to log file which is rotated when the log file reaches
a certain size. Multiple processes can safely write to the same
log file concurrently.
-------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-concurrentloghandler
Version : 0.9.19-2.14
Arch : noarch
Vendor : openSUSE
Installed Size : 85.1 KiB
Installed : No
Status : not installed
Source package : python-concurrentloghandler-0.9.19-2.14.src
Upstream URL : https://github.com/Preston-Landers/concurrent-log-handler
Summary : Concurrent logging handler
Description :
This module provides an additional log handler for Python's
standard logging package (PEP 282). This handler will write log
events to log file which is rotated when the log file reaches
a certain size. Multiple processes can safely write to the same
log file concurrently.