How to Install and Uninstall python310-datadiff Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python310-datadiff" package
This guide covers the steps necessary to install python310-datadiff on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python310-datadiff
Copied
2. Uninstall "python310-datadiff" package
Please follow the steps below to uninstall python310-datadiff on openSuSE Tumbleweed:
$
sudo zypper remove
python310-datadiff
Copied
3. Information about the python310-datadiff package on openSuSE Tumbleweed
Information for package python310-datadiff:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-datadiff
Version : 2.2.0-4.4
Arch : noarch
Vendor : openSUSE
Installed Size : 94.8 KiB
Installed : No
Status : not installed
Source package : python-datadiff-2.2.0-4.4.src
Upstream URL : https://sourceforge.net/projects/datadiff/
Summary : DataDiff is a library to provide human-readable diffs of python data structures
Description :
DataDiff is a library to provide human-readable diffs of python data structures.
It can handle sequence types (lists, tuples, etc), sets, and dictionaries.
Dictionaries and sequences will be diffed recursively, when applicable.
It has special-case handling for multi-line strings, showing them as a typical unified diff.
Drop-in replacements for some nose assertions are available. If the assertion fails,
a nice data diff is shown, letting you easily pinpoint the root difference.
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-datadiff
Version : 2.2.0-4.4
Arch : noarch
Vendor : openSUSE
Installed Size : 94.8 KiB
Installed : No
Status : not installed
Source package : python-datadiff-2.2.0-4.4.src
Upstream URL : https://sourceforge.net/projects/datadiff/
Summary : DataDiff is a library to provide human-readable diffs of python data structures
Description :
DataDiff is a library to provide human-readable diffs of python data structures.
It can handle sequence types (lists, tuples, etc), sets, and dictionaries.
Dictionaries and sequences will be diffed recursively, when applicable.
It has special-case handling for multi-line strings, showing them as a typical unified diff.
Drop-in replacements for some nose assertions are available. If the assertion fails,
a nice data diff is shown, letting you easily pinpoint the root difference.