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Python and Fortran Numerical Implementations of the Polya Enumeration Theorem

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POLYA

Numerical Implementation of the Polya Enumeration Theorem

This repository has code in both Python and Fortran for counting the number of unique colorings of a finite set under the action of a finite group. An example of the theorem and its application are discussed in the paper, as well as a description of the algorithm being used. Details needed to reproduce the data in the paper's figures is included in FIGURES.md.

Quickstart

To get started quickly, clone the git repo: git clone https://github.com/rosenbrockc/polya.git. This will create a folder called polya in the current directory. Next, cd polya/python and execute the script polya.py. The script is documented internally with examples and a description of the parameters (by running ./polya.py --help). We proceed with a short example using the symmetries of the square. It is also the example discussed in the paper.

The generators of the dihedral group of degree four are written in cycle form as:

4 3 2 1
2 3 4 1

A file containing these generators is included in fortran/tests/generators.in.paper. If we want to know how many ways exist to color the corners of the square with 2 colors and two corners of each color, then the positional argument is 2 2 (just list the number of corners that should have each type of color; the number of entries is the number of colors to use). We can then calculate the number of unique colorings using:

./polya.py 2 2 -generators generators.in.paper

Unit Tests

The Fortran implementation is 100% unit tested. All the input and output files for the tests are contained in polya/fortran/tests. To automatically compile and run the unit tests, use the fortpy package. We recommend creating a new virtual environment for fortpy.

pip install fortpy
mkdir staging
cd polya
runtests.py fortran/ -staging /path/to/staging

fortpy will create a directory for each method in the module that has unit tests specified, compile an executable and then run the executable for each of the tests cases specified in polya/fortran/classes.xml. If the tests all show 100%, then the code is compiling well on your system. Otherwise, fortpy will help debug the compilation errors.

To use the Polya solver in your own code, you can either use the Python version discussed above under "Quickstart" or cd staging/classes.polya and look at the driver file standard.f90 that was auto-generated by fortpy. The input files that the driver uses are saved in staging/classes.polya/tests/standard.* where * represents the test case identifiers listed in the classes.xml file. By examining the driver file, you should be able to easily implement it in your own code.

Source Code

All the source code is available in the python or fortran directories. If you use emacs, you can package-install<RET>fortpy<RET> to get real-time code development support for the f90 files in this repo. They have all been documented fully using the XML-based documentation standard of fortpy.

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Python and Fortran Numerical Implementations of the Polya Enumeration Theorem

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