Hi Tiago,
This should hopefully do it:
import graph_tool.all as gt
g = gt.load_graph('graph_no_multi_reac_type.gt')
gt.remove_parallel_edges(g)
print 'minimising state'
state = gt.minimize_nested_blockmodel_dl(g, deg_corr=True)
print 'equilibrating Markov chain'
# We will first equilibrate the Markov chain
gt.mcmc_equilibrate(state, wait=1000, mcmc_args=dict(niter=10))
--
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