How to Install and Uninstall python38-vulture Package on openSuSE Tumbleweed
Last updated: November 22,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-vulture" package
This guide let you learn how to install python38-vulture on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python38-vulture
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2. Uninstall "python38-vulture" package
In this section, we are going to explain the necessary steps to uninstall python38-vulture on openSuSE Tumbleweed:
$
sudo zypper remove
python38-vulture
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3. Information about the python38-vulture package on openSuSE Tumbleweed
Information for package python38-vulture:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-vulture
Version : 2.1-1.7
Arch : noarch
Vendor : openSUSE
Installed Size : 159,6 KiB
Installed : No
Status : not installed
Source package : python-vulture-2.1-1.7.src
Summary : Python module for finding dead code
Description :
Vulture finds unused code in Python programs. This is useful for
cleaning up and finding errors in code bases. Running Vulture
on both the library and test suite, untested code can be found.
Due to Python's dynamic nature, static code analyzers like Vulture are
likely to miss some dead code. Also, code that is only called implicitly
may be reported as unused.
Features:
* static code analysis
* only one module
* tests itself and has complete test coverage
* complements pyflakes and has the same output syntax
* sorts unused classes and functions by size with ``--sort-by-size``
* supports Python 2.6, 2.7 and 3.x
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-vulture
Version : 2.1-1.7
Arch : noarch
Vendor : openSUSE
Installed Size : 159,6 KiB
Installed : No
Status : not installed
Source package : python-vulture-2.1-1.7.src
Summary : Python module for finding dead code
Description :
Vulture finds unused code in Python programs. This is useful for
cleaning up and finding errors in code bases. Running Vulture
on both the library and test suite, untested code can be found.
Due to Python's dynamic nature, static code analyzers like Vulture are
likely to miss some dead code. Also, code that is only called implicitly
may be reported as unused.
Features:
* static code analysis
* only one module
* tests itself and has complete test coverage
* complements pyflakes and has the same output syntax
* sorts unused classes and functions by size with ``--sort-by-size``
* supports Python 2.6, 2.7 and 3.x