How to Install and Uninstall python36-munkres Package on openSuSE Tumbleweed
Last updated: November 23,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-munkres" package
Please follow the steps below to install python36-munkres on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python36-munkres
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2. Uninstall "python36-munkres" package
Here is a brief guide to show you how to uninstall python36-munkres on openSuSE Tumbleweed:
$
sudo zypper remove
python36-munkres
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3. Information about the python36-munkres package on openSuSE Tumbleweed
Information for package python36-munkres:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-munkres
Version : 1.1.2-2.5
Arch : noarch
Vendor : openSUSE
Installed Size : 56,3 KiB
Installed : No
Status : not installed
Source package : python-munkres-1.1.2-2.5.src
Summary : Munkres implementation for Python
Description :
The Munkres module provides an O(n^3) implementation of the Munkres
algorithm (also called the Hungarian algorithm or the Kuhn-Munkres
algorithm). The algorithm models an assignment problem as an NxM cost
matrix, where each element represents the cost of assigning the i'th
worker to the j'th job, and it figures out the least-cost solution,
choosing a single item from each row and column in the matrix, such
that no row and no column are used more than once.
This particular implementation is based on
http://csclab.murraystate.edu/~bob.pilgrim/445/munkres.html.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-munkres
Version : 1.1.2-2.5
Arch : noarch
Vendor : openSUSE
Installed Size : 56,3 KiB
Installed : No
Status : not installed
Source package : python-munkres-1.1.2-2.5.src
Summary : Munkres implementation for Python
Description :
The Munkres module provides an O(n^3) implementation of the Munkres
algorithm (also called the Hungarian algorithm or the Kuhn-Munkres
algorithm). The algorithm models an assignment problem as an NxM cost
matrix, where each element represents the cost of assigning the i'th
worker to the j'th job, and it figures out the least-cost solution,
choosing a single item from each row and column in the matrix, such
that no row and no column are used more than once.
This particular implementation is based on
http://csclab.murraystate.edu/~bob.pilgrim/445/munkres.html.