minimize_nested_blockmodel_dl getting stuck with weighted graph

I am running the following code:

import graph_tool.all as gt

g = gt.collection.ns["foodweb_baywet"]

for i in range(100):
    state = gt.minimize_nested_blockmodel_dl(g, state_args=dict(recs=[g.ep.weight], rec_types=["real-normal"]),
                                                 multilevel_mcmc_args=dict(entropy_args=dict(adjacency=False, degree_dl=False))
                                                 )

After some iterations the process gets stuck in minimize_nested_blockmodel_dl().

I'm using Python 3.11.0 with Anaconda version 4.11.0 on a Linux server. I installed and activated graph-tool as described here with these commands:

conda create --name gt -c conda-forge graph-tool
conda activate gt

OS info:

LSB Version: :core-4.1-amd64:core-4.1-noarch Distributor ID: Fedora Description: Fedora release 35 (Thirty Five)