Package: libcolgraph
libcolgraphlibcolgraph homepage on the weba coloring graphs library written in C++ for speedy computation and wrapped in
Python for ease of development and extension!whatthis library provides support to construct graphs, their coloring graphs, and
biconnected component metagraphs.
a coloring graph is a graph representing all the valid colorings of a graph.
each vertex of a coloring graph represents a coloring of the base graph.
two colorings are considered adjacent if they differ in only one vertex's color.in this project, we represent a coloring as an integer, which, when converted to
base k (for a k-coloring), is a number of length |V| and represents the vertex-wise
colors [0,k) for each vertex.the library is under development, being written using Python and C/C++.
the web application uses the library to provide useful GUI for quick drawing and
graph construction.
in the future, we plan to develop a supplemental subsection of the library containing
useful graph algorithms and ability to run simulations to test structural graph theoretic
conjectures about graph coloring and coloring graphs.
for documentation, feel free to take a look insidelibcolgraph/and read the docstrings.
for questions, reach out.screenshot of the web GUI[Clockwise]
A 7 vertex BaseGraph that is a hexagon with a central vertex and a missing 'spoke'
leads to a quite complex ColoringGraph with k=4 colors. You can see the formation of
polyps at the edges. The structure of the resultant ColoringGraph is shown in the
Meta ColoringGraph produced by a run of modified Tarjan's algorithm for biconnected
components. The central 'mothership' can be seen, adjacent to which there are cut
vertices, and finally the stray singular coloring vertices at the tips of polyps.for a static demo, go to the project'sgitlab pages.usageas a moduleplot a BaseGraph, its ColoringGraph, and the Meta
ColoringGraph generated by Tarjans. you would need to
have a graph formatted in an adjacency matrix file.
opens plots in new browser windows.launch web GUI:libcolgraph.web [-h] [-i INPUT_FILE] [-n] [-s] [-k COLORS] [-v] [-p PORT]
                     [-w] [-r] [-d] [-t]

  optional arguments:
    -h, --help            show this help message and exit
    -i INPUT_FILE, --input-file INPUT_FILE
                          read in BaseGraph from adjacency matrix file
    -n, --new             open a blank canvas?
    -s, --select_file     open file choosing gui dialogue?
    -k COLORS, --colors COLORS
                          number of colors to use to create ColoringGraph
    -v, --verbosity       set output verbosity
    -p PORT, --port PORT  port to launch GUI on
    -w, --webbrowser      open app in default web browser window?
    -r, --render_on_launch
                          render to-generate componenets on initial launch?
    -d, --debug           launch Flask app in debug mode?
    -t, --threaded        allow multiple threads?as a libraryimportlibcolgraphbg=libcolgraph.BaseGraph()bg.load_txt('./in/hexmod.in')cg=bg.build_coloring_graph(4)print('bg{}led to a cg{}'.format(bg,cg))forvincg.get_vertices():print(v)installationfor installation from source
refer todetailed install instructionspypipython3-mpipinstalllibcolgraph[--upgrade]things to note:currently a binary wheel is available only formanylinuxdistributions e.g. centOS, Debian family, RedHat family, etc.if your distribution is notmanylinux-supported, then pip
will need to compile locally usingswigandsetuptools.
in that case, make sure you havesetuptoolsandswiginstalled, as they
will be needed for compilation.we periodically release wheels for MacOS as well. these
might not be as frequently maintained, however, so your best
bet would be to compile locally usingswig.contributeseecontributing guidehelpvisitfull API documentationwhoColoring Graphs lab, University of Richmond.
(C) 2017-2020