[graph-tool] initial minimization of nested blockmodel

Hello everybody, I'm new to graph-tool and nSBM, so forgive my naive question. We are still trying to understand how parameter influence our outcome. My first question is is state = gt.minimize_nested_blockmodel_dl(g) state.mcmc_sweep(niter=100) Equal to state = gt.minimize_nested_blockmodel_dl(g, mcmc_args=dict(niter=100)) ? I’m asking as the documentation executes the two steps, but the minimization function accepts parameters for MCMC sweep step. Thanks d