How to Install and Uninstall python311-backoff Package on openSuSE Tumbleweed
Last updated: December 27,2024
1. Install "python311-backoff" package
In this section, we are going to explain the necessary steps to install python311-backoff on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-backoff
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2. Uninstall "python311-backoff" package
In this section, we are going to explain the necessary steps to uninstall python311-backoff on openSuSE Tumbleweed:
$
sudo zypper remove
python311-backoff
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3. Information about the python311-backoff package on openSuSE Tumbleweed
Information for package python311-backoff:
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Repository : openSUSE-Tumbleweed-Oss
Name : python311-backoff
Version : 2.2.1-2.5
Arch : noarch
Vendor : openSUSE
Installed Size : 105.6 KiB
Installed : No
Status : not installed
Source package : python-backoff-2.2.1-2.5.src
Upstream URL : https://github.com/litl/backoff
Summary : Function decoration for backoff and retry
Description :
This module provides function decorators which can be used to wrap a
function such that it will be retried until some condition is met. It
is meant to be of use when accessing unreliable resources with the
potential for intermittent failures i.e. network resources and external
APIs. Somewhat more generally, it may also be of use for dynamically
polling resources for externally generated content.
Decorators support both regular functions for synchronous code and
`asyncio`_'s coroutines
for asynchronous code.
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-backoff
Version : 2.2.1-2.5
Arch : noarch
Vendor : openSUSE
Installed Size : 105.6 KiB
Installed : No
Status : not installed
Source package : python-backoff-2.2.1-2.5.src
Upstream URL : https://github.com/litl/backoff
Summary : Function decoration for backoff and retry
Description :
This module provides function decorators which can be used to wrap a
function such that it will be retried until some condition is met. It
is meant to be of use when accessing unreliable resources with the
potential for intermittent failures i.e. network resources and external
APIs. Somewhat more generally, it may also be of use for dynamically
polling resources for externally generated content.
Decorators support both regular functions for synchronous code and
`asyncio
for asynchronous code.