I am using random_graph() to generate graphs for given marginals. This seems to work well if the method does not need to create too many parallel edges. However, as soon as the marginals are significantly larger then the number of vertices the function tends to crash/hang up python. Here is a small example:
>>> import graph_tool.all as gt >>> in_degr =[50,40,3] >>> out_degr=[40,3,50] >>> g = gt.random_graph(3, lambda i: (in_degr[i],out_degr[i]), >>> directed=True,parallel_edges=True) I tried this on OS X and Linux with similar results. I'm not sure I have the right approach here. I'd rather prefer to have weighted edges created then parallel edges. But I couldn't figure out how to do that. I have two questions: 1. Can anyone reproduce / solve the issue above? 2. Is there a way to generate directed graphs from marginals with weighted edges? Thanks, Olaf -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/random-graph-function-crashes-python-tp4026136.html Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com. _______________________________________________ graph-tool mailing list [email protected] http://lists.skewed.de/mailman/listinfo/graph-tool
