May 2017 - graph-tool - archives.skewed.de

3D Layouts?
by Dirk Reiners 30 May '17

30 May '17

Hi All! I am looking at graph libs for python, and came across graph_tool. I am trying to see if it is possible to create 3D layouts instead of 2D ones (which it does really well). Has anybody done that, or does anybody have some ideas on how we could do that? Any hints welcome! Dirk

5 10

Invalid vertex index error in get_edges_prob using filtered graph
by P-M 26 May '17

26 May '17

Hello, I am running a script to calculate the likelihoods of certain edges being missing edges on a filtered graph (I filter out some edges to see whether the filtered edges are more likely to be missing than a bunch of other, random edges that I also calculate the likelihood for). When running this I however get an error telling me the following: Traceback (most recent call last): File "edge_prediction_stats_ex_+_rand_es.py", line 122, in <module> callback=collect_edge_probs,history=True) File "/home/pmj27/anaconda2/lib/python2.7/site-packages/graph_tool/inference/mcmc.py", line 155, in mcmc_equilibrate extra = callback(state) File "edge_prediction_stats_ex_+_rand_es.py", line 15, in collect_edge_probs p = s.get_edges_prob([chosen_test_edges[i]], entropy_args=dict(partition_dl=False)) File "/home/pmj27/anaconda2/lib/python2.7/site-packages/graph_tool/inference/nested_blockmodel.py", line 345, in get_edges_prob L += lstate.get_edges_prob(missing, spurious, entropy_args=eargs) File "/home/pmj27/anaconda2/lib/python2.7/site-packages/graph_tool/inference/blockmodel.py", line 1147, in get_edges_prob pos[u] = self.b[u] File "/home/pmj27/anaconda2/lib/python2.7/site-packages/graph_tool/__init__.py", line 446, in __getitem__ k = self.__key_convert(k) File "/home/pmj27/anaconda2/lib/python2.7/site-packages/graph_tool/__init__.py", line 424, in __key_convert key = self.__g().vertex(key) File "/home/pmj27/anaconda2/lib/python2.7/site-packages/graph_tool/__init__.py", line 1760, in vertex raise ValueError("Invalid vertex index: %d" % int(i)) ValueError: Invalid vertex index: 2 I have told python to return the vertex IDs of the edge that is raising the error and have checked manually in the filtered graph whether these vertex IDs are valid IDs and they are. Can anybody reproduce this error? Tiago, is this in any way related to the errors I have been observing with filtered graphs in the past? I am running version 2.23dev (commit 87abb56d, Wed Apr 5 15:21:41 2017 +0100) which I think should be the latest version on Ubuntu 16.04 and have compiled it with GCC 5.4.0. Here is the network used ( graph_no_multi_clean.zip <http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com…> ) and here is the script used ( edge_prediction_stats_ex_+_rand_es.py <http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com…> ) to produce the error. -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com… Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.

1 2

Color vertices in state.draw()
by excuvator 26 May '17

26 May '17

In a NestedBlockModel, I'm trying to color the vertices from an underlying property, and not from the grouping of the NestedBlockModel. I do the following: import graph_tool as * import graph_tool.all as gt import numpy as np g = gt.collection.data["football"] prop = g.new_vertex_property("int") prop.a = np.random.randint(0, 10, len(prop.a)) state = gt.minimize_nested_blockmodel_dl(g) state.draw(output='test1.png') state.draw(vertex_color=prop, output='test2.png') The difference between the two drawings is that when I supply the vertex_color, the boundary of the vertex will be colored differently. However, in a large state that is almost hidden to the naked eye. How can I color the whole vertex in a different color, not only the boundary? -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com… Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.

2 1

Writing a custom binary format (.gt file) in spark
by B 25 May '17

25 May '17

I've got a dataframe inside of Apache spark which I'd like to output as a .gt file. The dataframe is a table of edges between vertices like so: 0 9 0 8 9 1 I read the guide on the custom gt file format, but how do I actually write one for my edges dataframe? That too, inside of spark? Any ideas/examples you could point me to? Any help is appreciated, thank you!

2 1

Help with large dataset page rank calculation
by B 25 May '17

25 May '17

Hi guys, I'm reaching out because I wrote a script which worked on a smaller scale, but is not working on the full scale for calculating pagerank. I have a 656 gb csv file of "edges" on the internet, like so: Reddit.com Google.com Reddit.com imgur.com BuzzFeed.com cnn.com Etc Originally, I used the pandas library to prepare the data to send over to graph tool, it worked by: 1) read CSV 2) covert everything to lower case 3) create a dataframe of unique vertices (eg. Google.com, BuzzFeed.com, etc) with integer indexes 4) in an effort to speed up and save memory, replace edges dataframe cells with integer representation Eg. Reddit.com Google.com Reddit.com imgur.com Becomes ... 3 1 3 69 5) THEN send over edges dataframe to graph tool 6) graph tool does its magic, calculating pagerank 7) pandas takes every returned pagerank and replaces the integer index with it's matching domain Eg. 3 0.878896437 Becomes ... Reddit.com 0.878896437 The problem I'm having is that the pandas library can't even finish reading my csv file, even after 3 hours, on the largest AWS instance. I know this isn't related to pandas but I was wondering if there was a better way to prepare the data to send over to graph tool that could work at my scale? Is there anything I can do to read the csv file, calculate pagerank, and output all the domain vertices with their respective pagerank scores? I'm scared my only option is using spark in some distributed fashion ... If that is the case, how do I still get the edges data as integers into graph tool anyways? Any feedback is greatly appreciated Thank you!

2 1

inference.minimize_nested_blockmodel_dl does not support bs != None
by excuvator 25 May '17

25 May '17

I'm running the current version. If I try to provide a list of np.arrays that contain the hirarchies, I get the following error: Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/IPython/core/interactiveshell.py", line 2847, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-104-5c3124f01cab>", line 2, in <module> gs[i], deg_corr=True, bs=asd, File "/usr/lib/python3/dist-packages/graph_tool/inference/minimize.py", line 503, in minimize_nested_blockmodel_dl base_type=type(min_state), UnboundLocalError: local variable 'min_state' referenced before assignment Basically, min_states is only defined if bs is None, in which case get_states() gets called. As soon as one provides bs, that breaks down. The reason I report this bug here is that I get the following error whenever I try to click on git or issues on the web: Misdirected Request The client needs a new connection for this request as the requested host name does not match the Server Name Indication (SNI) in use for this connection. -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com… Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.

2 1

ImportError - but boost installed
by excuvator 19 May '17

19 May '17

Hello everyone, I am trying to get graph_tool to run with my conda installation on Ubuntu. I followed the steps here <https://gist.github.com/floriangeigl/ee222e581b04a0d7922c> , which among other things installed boost 1.63, if I understand correctly. I can use graph_tool fine if I just "import graph_tool". However, if I want to use the drawing functionalities, and do "from graph_tool.all import *", I get /ImportError: libCGAL.so.12: cannot open shared object file: No such file or directory/ The only clue a google-search gave was lack of boost, which is supposedly installed and working fine.. what follows is my full list of packages installed in the repository - what can I do? # packages in environment at .conda/envs/networks: # anaconda-client 1.5.1 py35_0 beautifulsoup4 4.5.1 py35_0 cairo 1.12.18 6 clyent 1.2.2 py35_0 boost 1.63.0 np111py35_6 conda-forge boost-cpp 1.63.0 2 conda-forge bzip2 1.0.6 1 conda-forge icu 58.1 1 conda-forge pyqt 4.11.4 py35_2 conda-forge cycler 0.10.0 py35_0 dbus 1.10.10 0 decorator 4.0.10 py35_0 dill 0.2.5 py35_0 dill 0.2.6 <pip> eigen 3.2.8 2 entrypoints 0.2.2 py35_0 et_xmlfile 1.0.1 py35_0 expat 2.1.0 0 fontconfig 2.11.1 6 freetype 2.5.5 1 glib 2.43.0 1 gst-plugins-base 1.8.0 0 gstreamer 1.8.0 0 harfbuzz 0.9.39 1 ipykernel 4.6.1 py35_0 ipython 5.1.0 py35_0 ipython_genutils 0.1.0 py35_0 ipywidgets 6.0.0 py35_0 jdcal 1.3 py35_0 jinja2 2.8 py35_1 jpeg 8d 2 jsonschema 2.5.1 py35_0 jupyter 1.0.0 py35_3 jupyter_client 4.4.0 py35_0 jupyter_console 5.1.0 py35_0 jupyter_core 4.2.0 py35_0 libffi 3.2.1 0 libgcc 5.2.0 0 libgfortran 3.0.0 1 libpng 1.6.22 0 libsodium 1.0.10 0 libxcb 1.12 0 libxml2 2.9.2 0 libxslt 1.1.28 0 lxml 3.6.4 py35_0 m4 1.4.17 0 markupsafe 0.23 py35_2 matplotlib 1.5.1 np111py35_0 mistune 0.7.3 py35_0 mkl 11.3.3 0 mpmath 0.19 py35_1 multiprocess 0.70.5 <pip> nbconvert 4.2.0 py35_0 nbformat 4.1.0 py35_0 notebook 5.0.0 py35_0 numpy 1.11.2 py35_0 openpyxl 2.4.0 py35_0 openssl 1.0.2j 0 cairomm 1.10.0 2 ostrokach cgal 4.5 0 ostrokach gmp 6.0.0a 1 ostrokach graph-tool 2.22 py35_1 ostrokach libsigcpp 2.4.1 3 ostrokach mm-common 0.9.7 0 ostrokach mpfr 3.1.3 1 ostrokach pthread-stubs 0.3 0 ostrokach pycairo 1.10.0 py35_5 ostrokach sparsehash 2.0.2 0 ostrokach util-macros 1.19.0 1 ostrokach pandas 0.19.2 np111py35_1 pango 1.39.0 1 path.py 8.2.1 py35_0 pathos 0.2.0 <pip> patsy 0.4.1 py35_0 pexpect 4.0.1 py35_0 pickleshare 0.7.4 py35_0 pip 8.1.2 py35_0 pixman 0.32.6 0 pox 0.2.3 <pip> ppft 1.6.4.7.1 <pip> prompt_toolkit 1.0.3 py35_0 ptyprocess 0.5.1 py35_0 pygments 2.1.3 py35_0 pyparsing 2.1.4 py35_0 pyprof2calltree 1.4.0 <pip> python 3.5.2 0 python-dateutil 2.5.3 py35_0 pytz 2016.7 py35_0 pyyaml 3.12 py35_0 pyzmq 15.4.0 py35_0 qt 4.8.7 4 qtconsole 4.2.1 py35_0 readline 6.2 2 requests 2.11.1 py35_0 scipy 0.18.1 np111py35_0 setuptools 27.2.0 py35_0 simplegeneric 0.8.1 py35_1 sip 4.18 py35_0 six 1.10.0 py35_0 sqlite 3.13.0 0 statsmodels 0.6.1 np111py35_1 sympy 1.0 py35_0 system 5.8 2 terminado 0.6 py35_0 tk 8.5.18 0 tornado 4.4.2 py35_0 traitlets 4.3.1 py35_0 wcwidth 0.1.7 py35_0 wheel 0.29.0 py35_0 widgetsnbextension 2.0.0 py35_0 xlrd 1.0.0 py35_0 xz 5.2.2 0 yaml 0.1.6 0 zeromq 4.1.4 0 zlib 1.2.8 3 -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com… Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.

3 2

Getting graph tools on debian Jessie
by hans 02 May '17

02 May '17

Hi, I'm having some trouble with installing graph-tool in my Debian Jessie distribution with apt-get. Following the installation instructions I can either add "jessie" as the distro, in which case the packages are not found: W: Failed to fetch http://downloads.skewed.de/apt/jessie/dists/jessie/main/source/Sources 404 Not Found W: Failed to fetch http://downloads.skewed.de/apt/jessie/dists/jessie/main/binary-amd64/Packag… 404 Not Found W: Failed to fetch http://downloads.skewed.de/apt/jessie/dists/jessie/main/binary-i386/Packages 404 Not Found E: Some index files failed to download. They have been ignored, or old ones used instead. If I try "sid" or "stretch" I get dependency errors instead: The following packages have unmet dependencies: python-graph-tool : Depends: libboost-coroutine1.62.0 but it is not installable .... E: Unable to correct problems, you have held broken packages. Is there any way to get graph-tool for Jessie (apart from compiling it from source)? I've been using it on my MacBook, and would really like to have it here as well. It's a great module! Best regards, hans -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com… Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.

4 4

Generating planar graph of amino acids based
by Matyas, Csongor 02 May '17

02 May '17

Hi everyone I'm trying to generate a planar graph of amino acids, based on their properties, something like this: http://www.russelllab.org/aas/other_images/lb3.gif I want them to be something like this (I know there is a solution already, but this is just an example at the moment, if I can't solve this problem, I can't move forward). Some amino acids should be close to each other, because they are in the same group. The problem is, that they can belong to multiple groups, so just grouping doesn't work. I've seen the fruchterman_reingold_layout and it's two parameters: *a* : float (optional, default:) Attracting force between adjacent vertices. *r* : float (optional, default: 1.0) Repulsive force between vertices. The problem is, that I think I would need the opposite. Repulsive force between the connected vertices, and attractive force between the vertices in general. The question is, can I do that somehow? Or is there another way? This is something I've done to play with until now, attached Thank you Csongor

2 1

Model class selection cookbook example with nested SBM fails on custom graph
by marnix 02 May '17

02 May '17

Dear all, after trying for a few days to resolve this myself, I decided to ask for help here. The cookbook example on model evidence for the nested example fails on all my graphs, but works with the original gt.collection.data["lesmis"] graph. The code is exactly as in the cookbook example <https://graph-tool.skewed.de/static/doc/demos/inference/inference.html#mode…> . The unnested SBM does work with every graph I tried. Here's the error message, which is triggered in the call to mcmc_equilibrate(). --- ArgumentError Traceback (most recent call last) <ipython-input-65-403d439ad6c7> in <module>() 32 # Now we collect the marginal distributions for exactly 200,000 sweeps 33 gt.mcmc_equilibrate(state, force_niter=10, mcmc_args=dict(niter=10), ---> 34 callback=collect_marginals) 35 36 S_mf = [gt.mf_entropy(sl.g, vm[l]) for l, sl in enumerate(state.get_levels())] /usr/lib/python2.7/dist-packages/graph_tool/inference/mcmc.pyc in mcmc_equilibrate(state, wait, nbreaks, max_niter, force_niter, epsilon, gibbs, block_moves, mcmc_args, entropy_args, history, callback, verbose) 118 while count < wait: 119 if not gibbs: --> 120 delta, nmoves = state.mcmc_sweep(**mcmc_args) 121 else: 122 delta, nmoves = state.gibbs_sweep(**mcmc_args) /usr/lib/python2.7/dist-packages/graph_tool/inference/nested_blockmodel.pyc in mcmc_sweep(self, **kwargs) 526 c = [c] + [c * 2 ** l for l in range(1, len(self.levels))] 527 --> 528 return self._h_sweep(lambda s, **a: s.mcmc_sweep(**a), c=c, **kwargs) 529 530 def gibbs_sweep(self, **kwargs): /usr/lib/python2.7/dist-packages/graph_tool/inference/nested_blockmodel.pyc in _h_sweep(self, algo, **kwargs) 460 edges_dl=(l + 1 == len(self.levels) - 1)) 461 self.levels[l]._couple_state(self.levels[l + 1], --> 462 get_entropy_args(eargs)) 463 self.levels[l + 1]._state.clear_egroups() 464 self.levels[l + 1]._state.sync_emat() /usr/lib/python2.7/dist-packages/graph_tool/inference/blockmodel.pyc in _couple_state(self, state, entropy_args) 586 self._state.decouple_state() 587 else: --> 588 self._state.couple_state(state._state, entropy_args) 589 590 def get_blocks(self): ArgumentError: Python argument types in graph_tool::BlockState<boost::UndirectedAdaptor<boost::filtered_graph<boost::adj_list<unsigned long>, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::adj_edge_index_property_map<unsigned long> > >, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> > > > >, graph_tool::simple_degs_t, std::integral_constant<bool, true>, std::integral_constant<bool, true>, boost::any, boost::any, boost::any, boost::unchecked_vector_property_map<int, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, bool, int, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::typed_identity_property_map<unsigned long> >, double, double, double, double, double, double, boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> >, bool>.couple_state(graph_tool::BlockState<boost::UndirectedAdaptor<boost::filtered_graph<boost::adj_list<unsigned long>, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::adj_edge_index_property_map<unsigned long> > >, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> > > > >, graph_tool::simple_degs_t, std::integral_constant<bool, true>, std::integral_constant<bool, true>, boost::any, boost::any, boost::any, boost::unchecked_vector_property_map<int, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, bool, int, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::typed_identity_property_map<unsigned long> >, double, double, double, double, double, double, boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> >, bool>, graph_tool::BlockState<boost::UndirectedAdaptor<boost::adj_list<unsigned long> >, graph_tool::simple_degs_t, std::integral_constant<bool, true>, std::integral_constant<bool, true>, boost::any, boost::any, boost::any, boost::unchecked_vector_property_map<int, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, bool, int, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::typed_identity_property_map<unsigned long> >, double, double, double, double, double, double, boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> >, bool>, entropy_args) did not match C++ signature: couple_state(graph_tool::BlockState<boost::UndirectedAdaptor<boost::filtered_graph<boost::adj_list<unsigned long>, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::adj_edge_index_property_map<unsigned long> > >, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> > > > >, graph_tool::simple_degs_t, std::integral_constant<bool, true>, std::integral_constant<bool, true>, boost::any, boost::any, boost::any, boost::unchecked_vector_property_map<int, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, bool, int, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::typed_identity_property_map<unsigned long> >, double, double, double, double, double, double, boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> >, bool> {lvalue}, graph_tool::BlockState<boost::UndirectedAdaptor<boost::filtered_graph<boost::adj_list<unsigned long>, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::adj_edge_index_property_map<unsigned long> > >, graph_tool::detail::MaskFilter<boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> > > > >, graph_tool::simple_degs_t, std::integral_constant<bool, true>, std::integral_constant<bool, true>, boost::any, boost::any, boost::any, boost::unchecked_vector_property_map<int, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, std::vector<unsigned long, std::allocator<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, boost::unchecked_vector_property_map<int, boost::typed_identity_property_map<unsigned long> >, bool, int, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::adj_edge_index_property_map<unsigned long> >, boost::unchecked_vector_property_map<double, boost::typed_identity_property_map<unsigned long> >, double, double, double, double, double, double, boost::unchecked_vector_property_map<unsigned char, boost::typed_identity_property_map<unsigned long> >, bool> {lvalue}, graph_tool::entropy_args_t) --- It is the same error as user P-M encountered here <http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com…> , but with the exact code from the example. Please find the sample graph attached that produced this message: m2uterm.gt <http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com…> . System information: Graph-tool: '2.18 (commit 37996a0a, Thu Jul 21 17:56:14 2016 +0200)' Python: '2.7.10 (default, Oct 14 2015, 16:09:02) \n[GCC 5.2.1 20151010]' Ubuntu 15.10, 64-bit, AMD A6-5200 APU Boost: ??? I installed graph-tool using apt-get. Thanks for your time! Best regards, Marnix ps.: I tried to update graph-tool with apt-get update but I got "Failed to fetch http://downloads.skewed.de/apt/wily/dists/wily/universe/source/Sources 404 Not Found" errors... -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com… Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.

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