Hi Tiago,
thanks for your swift reply. Here is a variant of the Price network from the
Quick Start Section of your documentation where I added random integers as
edge weights. When I run the gt.minimize_blockmodel_dl command I get the
same crash as with my own network.
#! /usr/bin/env python
from numpy.random import *
seed(42)
import graph_tool.all as gt
g = gt.Graph()
v_age = g.new_vertex_property("int")
e_age = g.new_edge_property("int")
e_weight = g.new_edge_property("int")
N = 100000
v = g.add_vertex()
v_age[v] = 0
vlist = [v]
for i in range(1, N):
v = g.add_vertex()
v_age[v] = i
i = randint(0, len(vlist))
target = vlist[i]
# add edge and random edge weight
e = g.add_edge(v, target)
e_age[e] = i
e_weight[e] = randint(1,6)
vlist.append(target)
vlist.append(v)
g.vertex_properties["age"] = v_age
g.edge_properties["age"] = e_age
g.edge_properties["weight"] = e_weight
state = gt.minimize_blockmodel_dl(g)
print(state.B)
state_w = gt.minimize_blockmodel_dl(g, eweight=g.edge_properties["weight"],
multigraph = True)
print(state_w.B)
I don't know if it helps, but here is an additional message that pops up in
the Terminal directly before the breakdown:
Python(2069,0x7fff725f8300) malloc: *** error for object 0x7fb36c9fc068:
incorrect checksum for freed object - object was probably modified after
being freed.
*** set a breakpoint in malloc_error_break to debug
Please let me know if you need any other information.
Thanks a lot,
Jan
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