How to Install and Uninstall python311-pydocstyle Package on openSuSE Tumbleweed
Last updated: December 25,2024
1. Install "python311-pydocstyle" package
Please follow the steps below to install python311-pydocstyle on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-pydocstyle
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2. Uninstall "python311-pydocstyle" package
Please follow the step by step instructions below to uninstall python311-pydocstyle on openSuSE Tumbleweed:
$
sudo zypper remove
python311-pydocstyle
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3. Information about the python311-pydocstyle package on openSuSE Tumbleweed
Information for package python311-pydocstyle:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-pydocstyle
Version : 6.3.0-3.2
Arch : noarch
Vendor : openSUSE
Installed Size : 384.4 KiB
Installed : No
Status : not installed
Source package : python-pydocstyle-6.3.0-3.2.src
Upstream URL : https://github.com/PyCQA/pydocstyle/
Summary : Python docstring style checker
Description :
pydocstyle is a static analysis tool for checking compliance with
Python docstring conventions.
pydocstyle supports most of PEP 257 out of the box, but it should not
be considered a reference implementation.
The framework for checking docstring style is flexible, and custom
checks can be easily added, for example to cover NumPy docstring
conventions.
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-pydocstyle
Version : 6.3.0-3.2
Arch : noarch
Vendor : openSUSE
Installed Size : 384.4 KiB
Installed : No
Status : not installed
Source package : python-pydocstyle-6.3.0-3.2.src
Upstream URL : https://github.com/PyCQA/pydocstyle/
Summary : Python docstring style checker
Description :
pydocstyle is a static analysis tool for checking compliance with
Python docstring conventions.
pydocstyle supports most of PEP 257 out of the box, but it should not
be considered a reference implementation.
The framework for checking docstring style is flexible, and custom
checks can be easily added, for example to cover NumPy docstring
conventions.