./wip/py-gato, Python-based toolbox to visualise algorithms on graphs

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Branch: CURRENT, Version: 1.2.2, Package name: py27-gato-1.2.2, Maintainer: kamelderouiche

Paraphrasing the website:
Gato - the Graph Animation Toolbox - is software [toolkit] which visualizes
algorithms on graphs.
- Graphs are mathematical objects consisting of vertices, and edges
connecting pairs of vertices.
- Algorithms might find a shortest path - the fastest route - or a minimal
spanning tree or solve one of other interesting problems on graphs:
maximal-flow, weighted and non-weighted matching and min-cost flow.
- Visualisation means linking cause - the statements of an algorithm -
immediately to an effect - changes to the graph the algorithm has as its
input - by terms of blinking, changing colors and other visual effects.


Required to run:
[x11/py-Tk]

Master sites:

SHA1: 70f5cdf87dc26b614d683b33dd988f726a418ca0
RMD160: 05f2798a9549bb4dc441b998c85f06656369f43b
Filesize: 267.938 KB

Version history: (Expand)


CVS history: (Expand)


   2015-02-18 09:09:25 by Thomas Klausner | Files touched by this commit (2)
Log message:
Convert to distutils.mk. Fix PLIST for python!=2.7. Mark as not ready for
python 3.x. Replace interpreter path in installed files.
   2015-02-16 23:06:44 by Kamel Ibn Aziz Derouiche | Files touched by this commit (5)
Log message:
Import py27-gato-1.2.2 as wip/py-gato.

Paraphrasing the website:
  Gato - the Graph Animation Toolbox - is software [toolkit] which visualizes
  algorithms on graphs.
  - Graphs are mathematical objects consisting of vertices, and edges
    connecting pairs of vertices.
  - Algorithms might find a shortest path - the fastest route - or a minimal
    spanning tree or solve one of other interesting problems on graphs:
    maximal-flow, weighted and non-weighted matching and min-cost flow.
  - Visualisation means linking cause - the statements of an algorithm -
    immediately to an effect - changes to the graph the algorithm has as its
    input - by terms of blinking, changing colors and other visual effects.