How to Install and Uninstall python36-datadiff Package on openSuSE Tumbleweed
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-datadiff" package
Please follow the steps below to install python36-datadiff on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python36-datadiff
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2. Uninstall "python36-datadiff" package
Please follow the step by step instructions below to uninstall python36-datadiff on openSuSE Tumbleweed:
$
sudo zypper remove
python36-datadiff
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3. Information about the python36-datadiff package on openSuSE Tumbleweed
Information for package python36-datadiff:
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-datadiff
Version : 2.2.0-2.2
Arch : noarch
Vendor : openSUSE
Installed Size : 50,5 KiB
Installed : No
Status : not installed
Source package : python-datadiff-2.2.0-2.2.src
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 : python36-datadiff
Version : 2.2.0-2.2
Arch : noarch
Vendor : openSUSE
Installed Size : 50,5 KiB
Installed : No
Status : not installed
Source package : python-datadiff-2.2.0-2.2.src
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.