The graph is represented using the
Graph
class from networkx.
A single node should contain the following attributes:
layer— number of the layer this node is on,position— a 2D position of the node,label— node label.
The layer is an integer and for further layers is incremented.
The initial layer is layer 0.
Nodes are identified by their names, which are generated as random UUIDs.
When contributing ensure that your code complies with PEP 8.
In order to add a new production, create a file agh_graphs/productions/<name>.py
with a class which extends agh_graphs.production.Production.
Consult the docs from the module agh_graphs.production for details.
Each production should have tests written and added to
tests/productions/test_<production name>.py.
In order to add a new derivation, place your code in
agh_graphs/derivations/<name>.py. It should be a runnable Python module,
so ensure you have a if __name__ == '__main__' condition.
Tests for the new derivation should be placed in
tests/derivations/test_<derivation name>.py.