def configuration_model(self, return_copy=False):
""" Reads AdjMatrixSequence Object and returns an edge randomized version.
Result is written to txt file.
"""
if self.is_directed:
nx_creator = nx.DiGraph()
else:
nx_creator = nx.Graph()
if return_copy:
x = self[:]
else:
x = self
# t_edges=[]
for i in range(len(self)):
print "configuration model: ", i
graphlet = nx.from_scipy_sparse_matrix(x[i], create_using=nx_creator)
graphlet = gwh.randomize_network(graphlet)
x[i] = nx.to_scipy_sparse_matrix(graphlet, dtype="int")
# for u,v in graphlet.edges():
# t_edges.append((u,v,i))
# gwh.write_array(t_edges,"Configuration_model.txt")
if return_copy:
return x
else:
return
