[graph-tool] Accessibility from C++
Hi, I need a graph library that is accessible for both Python and C++ together with a few other requirements. graph-tool seems to fulfill all this requirements. However, I don't find any information whether the library is usable from C++ code as well. My project consists out of several modules that are all aware a one main graph object. Each module can be written either in Python or C++. The modules itself are managed with some Python code. So my question is: Is it possible to get the C++ graph object out of the Python graph object? Is it possible to fill the C++ graph object directly with nodes and edges? Another point is that I need to attach a pointer (or shared_ptr) to a custom C++ type to some nodes. The pointer does not need to be accessible or visible from Python. Is this possible in a simple way? (Of course I can workaround with an e.g. map of type (vertex id, pointer).) Regards, Gerion signature.asc Description: This is a digitally signed message part. ___ graph-tool mailing list graph-tool@skewed.de https://lists.skewed.de/mailman/listinfo/graph-tool
[graph-tool] Accessibility from C++
Am 10.01.19 um 13:48 schrieb Gerion Entrup: > So my question is: Is it possible to get the C++ graph object out of the > Python graph object? Is it possible to fill the C++ graph object > directly with nodes and edges? This is possible, and not very difficult. However, it's undocumented at the moment. I'm working on some documentation, and I'll release it soon. > Another point is that I need to attach a pointer (or shared_ptr) to a > custom C++ type to some nodes. The pointer does not need to be > accessible or visible from Python. Is this possible in a simple way? > (Of course I can workaround with an e.g. map of type (vertex id, > pointer).) You can either use a property map of type int64_t, which is enough to hold pointers. You can also use type python::object, which will hold whatever you can express in python, inclusive custom classes. -- Tiago de Paula Peixoto signature.asc Description: OpenPGP digital signature ___ graph-tool mailing list graph-tool@skewed.de https://lists.skewed.de/mailman/listinfo/graph-tool
Re: [graph-tool] graph-tool example failure
Am 09.01.19 um 00:01 schrieb Moritz Warning: > Hi, > > I tried to following: > > $ docker run -it -u user -w /home/user tiagopeixoto/graph-tool ipython > Python 3.6.5 (default, May 11 2018, 04:00:52) > Type 'copyright', 'credits' or 'license' for more information > IPython 6.3.1 -- An enhanced Interactive Python. Type '?' for help. > > In [1]: from graph_tool.all import * > Unable to init server: Could not connect: Connection refused > Unable to init server: Could not connect: Connection refused > In [2]: g = Graph() > In [3]: v1 = g.add_vertex() > In [4]: v2 = g.add_vertex() > In [5]: e = g.add_edge(v1, v2) > In [6]: graph_draw(g, vertex_text=g.vertex_index, vertex_font_size=18, >...: output_size=(200, 200), output="two-nodes.png") > Out[6]: 'vector', for Graph 0x7f60e1fbadd8, at 0x7f60e1fbcd68> > > Do I make any obvious mistake? I don't see any problems. The "Unable to init server" are only warnings, meaning that a connection with the X server could not have been established. This can be safely ignored. -- Tiago de Paula Peixoto signature.asc Description: OpenPGP digital signature ___ graph-tool mailing list graph-tool@skewed.de https://lists.skewed.de/mailman/listinfo/graph-tool
Re: [graph-tool] Getting negative entropy/positive Log likelihood for a weighted network with positive edge weights.
Am 10.01.19 um 04:27 schrieb isukritgupta: > Dear Tiago, I am trying to model a weighted dense network with edge weights > in the range 0 to 1, with the non-hierarchical SBM for both degree corrected > and non-degree corrected versions. However, I get negative entropy for both > dc and ndc SBMs. I have attached a sample network for your consideration > along with a minimal working example from my code. Thanks for your time! When using real edge covariates, the overall likelihood becomes a probability *density*. Since the probability density can exceed 1 in value, its log can be positive, and hence the entropy can be negative. This is normal. -- Tiago de Paula Peixoto ___ graph-tool mailing list graph-tool@skewed.de https://lists.skewed.de/mailman/listinfo/graph-tool
