On 07.09.2017 15:31, Valery Topinsky wrote:
Hello Tiago.
There is the example code which cause the same infinite looping:
*import numpy as np **from graph_tool.all import * **gg = collection.data['football'] **dummy_type = np.array(map(lambda x: int('state' in x.lower()), gg.vp.label.get_2d_array([0])[0])) **dummy_weights = gg.new_edge_property('double') **dummy_weights.a = edge_endpoint_property(gg, gg.vp.value, "source").a - edge_endpoint_property(gg, gg.vp.value, "target").a **test = minimize_nested_blockmodel_dl(gg, deg_corr=False, b_min = dummy_type, B_max = 50, B_min=5, ** state_args=dict(clabel = dummy_type, ** recs = [dummy_weights], ** rec_types = ['real-normal'] ** ), ** verbose=True)*
Please try again with the current git version; it should be working. -- Tiago de Paula Peixoto <tiago@skewed.de>