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An implementation of the Quine-McCluskey algorithm

Project description

A Python implementation of the Quine McCluskey algorithm.

This implementation of the Quine McCluskey algorithm has no inherent limits (other than the calculation time) on the size of the inputs.

Also, in the limited tests of the author of this module, this implementation is considerably faster than other public Python implementations for non-trivial inputs.

Another unique feature of this implementation is the possibility to use the XOR and XNOR operators, in addition to the normal AND operator, to minimise the terms. This slows down the algorithm, but in some cases the result can be much more compact than a sum of product.

How to install qm.py

Install the package with

python setup.py install

This needs superuser privileges. If you want to install the package locally, you can run:

mypath=XXX PYTHONPATH=$mypath/lib/python2.7/site-packages/ python setup.py install –prefix $mypath

where XXX can be any path. You may have to change the PYTHONPATH according to your python version.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
quine_mccluskey-0.2.tar.gz (7.7 kB) Copy SHA256 hash SHA256 Source None

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