I've been looking for a while now, and I just can't find how to save a block state. If it is in the documentation, I apologize for missing it but I don't think it is. Basically, What I do is : open or create a graph, use minimize_blockmodel_dl on it, and then draw it. Blocks are there and I can query the graph for every node in each state. After saving the graph, as the blockstate model is not an internal property (and I can't find a way to make it one) and reloading it, obviously the block state is gone. If I do minimize_blockmodel_dl again on the new (but same) graph as before, I might get different results (this is a stochastic process after all, so that is expected). So How can I save the blockstate of the first algorithm, so that I can reproduce it after saving and reloading a graph (or in a different computer, or python instance)? Any and all help is greatly appreciated. -- Sent from: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/