How to Install and Uninstall python312-PyTrie Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python312-PyTrie" package
Here is a brief guide to show you how to install python312-PyTrie on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-PyTrie
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2. Uninstall "python312-PyTrie" package
This tutorial shows how to uninstall python312-PyTrie on openSuSE Tumbleweed:
$
sudo zypper remove
python312-PyTrie
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3. Information about the python312-PyTrie package on openSuSE Tumbleweed
Information for package python312-PyTrie:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-PyTrie
Version : 0.4.0-1.17
Arch : noarch
Vendor : openSUSE
Installed Size : 37.7 KiB
Installed : No
Status : not installed
Source package : python-PyTrie-0.4.0-1.17.src
Upstream URL : https://github.com/gsakkis/pytrie/
Summary : A pure Python implementation of the trie data structure
Description :
pytrie is a pure Python 3 implementation of the trie data structure.
A trie is an ordered tree data structure that is used to store a mapping
where the keys are sequences, usually strings over an alphabet. In addition to
implementing the mapping interface, tries allow finding the items for a given
prefix, and vice versa, finding the items whose keys are prefixes of a given key.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-PyTrie
Version : 0.4.0-1.17
Arch : noarch
Vendor : openSUSE
Installed Size : 37.7 KiB
Installed : No
Status : not installed
Source package : python-PyTrie-0.4.0-1.17.src
Upstream URL : https://github.com/gsakkis/pytrie/
Summary : A pure Python implementation of the trie data structure
Description :
pytrie is a pure Python 3 implementation of the trie data structure.
A trie is an ordered tree data structure that is used to store a mapping
where the keys are sequences, usually strings over an alphabet. In addition to
implementing the mapping interface, tries allow finding the items for a given
prefix, and vice versa, finding the items whose keys are prefixes of a given key.