How to Install and Uninstall python310-fields Package on openSuSE Tumbleweed
Last updated: November 22,2024
1. Install "python310-fields" package
In this section, we are going to explain the necessary steps to install python310-fields on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-fields
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2. Uninstall "python310-fields" package
This is a short guide on how to uninstall python310-fields on openSuSE Tumbleweed:
$
sudo zypper remove
python310-fields
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3. Information about the python310-fields package on openSuSE Tumbleweed
Information for package python310-fields:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-fields
Version : 5.0.0-4.6
Arch : noarch
Vendor : openSUSE
Installed Size : 94.2 KiB
Installed : No
Status : not installed
Source package : python-fields-5.0.0-4.6.src
Upstream URL : https://github.com/ionelmc/python-fields
Summary : Container class boilerplate killer
Description :
Container class boilerplate killer.
Features:
* Human-readable ``__repr__``
* Complete set of comparison methods
* Keyword and positional argument support. Works like a normal class - you can override just about anything in the
subclass (eg: a custom ``__init__``). In contrast, `hynek/characteristic`_
forces different call schematics and calls your ``__init__`` with different arguments.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-fields
Version : 5.0.0-4.6
Arch : noarch
Vendor : openSUSE
Installed Size : 94.2 KiB
Installed : No
Status : not installed
Source package : python-fields-5.0.0-4.6.src
Upstream URL : https://github.com/ionelmc/python-fields
Summary : Container class boilerplate killer
Description :
Container class boilerplate killer.
Features:
* Human-readable ``__repr__``
* Complete set of comparison methods
* Keyword and positional argument support. Works like a normal class - you can override just about anything in the
subclass (eg: a custom ``__init__``). In contrast, `hynek/characteristic
forces different call schematics and calls your ``__init__`` with different arguments.