How to Install and Uninstall python310-macholib Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python310-macholib" package
This guide covers the steps necessary to install python310-macholib on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python310-macholib
Copied
2. Uninstall "python310-macholib" package
Please follow the guidance below to uninstall python310-macholib on openSuSE Tumbleweed:
$
sudo zypper remove
python310-macholib
Copied
3. Information about the python310-macholib package on openSuSE Tumbleweed
Information for package python310-macholib:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-macholib
Version : 1.16.3-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 261.0 KiB
Installed : No
Status : not installed
Source package : python-macholib-1.16.3-1.2.src
Upstream URL : https://github.com/ronaldoussoren/macholib/
Summary : Mach-O header analysis and editing
Description :
macholib can be used to analyze and edit Mach-O headers, the executable
format used by Mac OS X.
It's typically used as a dependency analysis tool, and also to rewrite dylib
references in Mach-O headers to be @executable_path relative.
Though this tool targets a platform specific file format, it is pure python
code that is platform and endian independent.
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-macholib
Version : 1.16.3-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 261.0 KiB
Installed : No
Status : not installed
Source package : python-macholib-1.16.3-1.2.src
Upstream URL : https://github.com/ronaldoussoren/macholib/
Summary : Mach-O header analysis and editing
Description :
macholib can be used to analyze and edit Mach-O headers, the executable
format used by Mac OS X.
It's typically used as a dependency analysis tool, and also to rewrite dylib
references in Mach-O headers to be @executable_path relative.
Though this tool targets a platform specific file format, it is pure python
code that is platform and endian independent.