I'm learning to use minimize_nested_blockmodel_dl. I tried a 4 vertex graph

that should result in two groups at the first level, but only one group is

found. The code is below.

I'm using v 2.35.

Thanks,

Stephan

g = Graph()

v0 = g.add_vertex()

v1 = g.add_vertex()

v2 = g.add_vertex()

v3 = g.add_vertex()

e01 = g.add_edge(v0, v1)

e10 = g.add_edge(v1, v0)

e23 = g.add_edge(v2, v3)

e32 = g.add_edge(v3, v2)

e03 = g.add_edge(v0, v3)

edge_weights = g.new_edge_property('int')

edge_weights[e01] = 5

edge_weights[e10] = 5

edge_weights[e23] = 5

edge_weights[e32] = 5

edge_weights[e03] = 1

state = minimize_nested_blockmodel_dl(g, overlap=False,

state_args=dict(recs=[edge_weights], rec_types=['discrete-geometric']) )

print('Should be 2, but is ',state.levels[0].B)