I am trying to make a layered nested network by following command lines similar to the example in the instruction (except using nested stochastic blockmodel): LayerState = minimize_nested_blockmodel_dl(g, layers=True, state_args=dict(ec=g.edge_properties["Timestamp"], layers=True), verbose=True) bs = LayerState.get_bs() bs += [np.zeros(1)] * (L - len(bs)) LayerState = LayerState.copy(bs=bs, sampling=True) dS, nmoves = LayerState.mcmc_sweep(niter=500) I got this error: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib/python3/dist-packages/graph_tool/inference/nested_blockmodel.py", line 577, in mcmc_sweep return self._h_sweep(lambda s, **a: s.mcmc_sweep(**a), c=c, **kwargs) File "/usr/lib/python3/dist-packages/graph_tool/inference/nested_blockmodel.py", line 500, in _h_sweep get_entropy_args(eargs)) File "/usr/lib/python3/dist-packages/graph_tool/inference/blockmodel.py", line 698, in _couple_state self._state.couple_state(state._state, entropy_args) AttributeError: 'graph_tool::Layers<graph_tool::BlockState<boost::u' object has no attribute 'couple_state' Any comment why it occurred or suggestion about how could it be fixed ? Thanks.