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Add the setup.py file to make the repo usable without manual installation

Hello,
Thank you for this great and maintained project.
While trying to use the algorithm on networkx directed graph (by running nx_subdue),
I've noticed that the internal presentation of the graph is undirected (i.e. the 'directed' property of the edges is 'False').
In the previous version it caused wrong pattern results. In the last Subdue version (with overlap parameter) it doesn't influence the results anymore, as far as I saw, but I'm afraid it can influence other things.

I'm adding a link to the problematic line, which I changed in my fork:
https://github.com/bar-ta/Subdue/blob/master/src/Graph.py#L93

It seems like we use a different version of networkx maybe. I'm using the last version: networkx==2.5. Which one do you use?
Thank you,
Bar.

Can you please let me know how did you create labeled graphs which you had used for testing?

Hi Dr. Holder,

When executing the script, I face the following error

Traceback (most recent call last):
  File "Subdue.py", line 156, in <module>
    main()
  File "Subdue.py", line 153, in main
    Subdue(parameters, graph)
  File "Subdue.py", line 107, in Subdue
    patternList = DiscoverPatterns(parameters, graph)
  File "Subdue.py", line 54, in DiscoverPatterns
    Pattern.PatternListInsert(extendedPattern, childPatternList, parameters.beamWidth, parameters.valueBased)
  File "/home/rishi/Downloads/PythonSubdue/Pattern.py", line 220, in PatternListInsert
    uniqueValues = UniqueValues(patternList)
NameError: global name 'UniqueValues' is not defined

I could not find the function "UniqueValues". Let me know the possible fix.

Hello, I was delighted to come across this implementation of the Subdue method. However, I am having trouble with the installation process. I've tried to install the package in two different virtual environments, using pip, and I get the same error each time that there seems to be a file missing. Do you have recommendations as to how the package should be installed?

Hi Dr. Holder,

I entered 8,000 nodes with 13,000 edges. I found that the program was running very slowly. I still had no results after running for one night. Is there any way to solve it?

Thank you for your code sharing!