qm.py

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.

Metadata

Release files for quine-mccluskey 0.3

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Source distribution (sdist)

Source distribution for quine-mccluskey 0.3
File	Size	Uploaded	Provenance
quine_mccluskey-0.3.tar.gz	8.9 kB	Jun 16, 2019	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for quine-mccluskey 0.3
File	Interpreter	ABI	Platform	Reset
quine_mccluskey-0.3-py2-none-any.whl 10.8 kB Jun 16, 2019 Without provenance	Python 2	none	any	Details

Total release size: 19.7 kB

Release files / quine_mccluskey-0.3.tar.gz

Download URL	quine_mccluskey-0.3.tar.gz
Size	8.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`348fa01b4778a45c41789ade08b838b18bd0d8da194ca94164e89739ec9d387d`
BLAKE2b-256 checksum How to use checksums	`a0d660c205f6241ba73ca66cba56597ee598a3d0ee056a87b7bf4e8727fa5c67`
Upload date	Jun 16, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.16`

Release files / quine_mccluskey-0.3-py2-none-any.whl

Download URL	quine_mccluskey-0.3-py2-none-any.whl
Size	10.8 kB
Tags	Python 2
SHA-256 checksum How to use checksums	`7b6d50d993e7fe20448d24267e947723b3271137737488bf07e63cf6abda2e59`
BLAKE2b-256 checksum How to use checksums	`c53c336877ca5bfa4e4a7ac800f7624bf2c051088b2cd2dd6165186d5c05b64a`
Upload date	Jun 16, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.16`

Security for quine-mccluskey 0.3

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