def calculate(self):
if self.data == 0:
self.matrix = get_voivodeship_sample()
else:
self.matrix = self.data
self.original_matrix = self.matrix
self.add_nodes()
self.calculate_closest_nodes(self.matrix, True)
step = 1
while len(self.groups) != self.final_number_of_groups:
print "Next iteration"
self.remove_duplicates_from_groups()
self.matrix = self.rebuild_matrix(self.links)
self.calculate_closest_nodes(self.matrix, False)
self.add_step_json(self.get_json(), step)
step += 1
self.do_last_joining(step)
print "Connected graph:", graph_algorithms.json_graph_is_connected(self.step_jsons[max(self.step_jsons.keys(), key=int)])
def open_visualisation(self):
webbrowser.open('file://' + os.path.realpath(self.filename))
graph_algorithms.json_graph_is_connected(self.j[max(self.j.keys(), key=int)])
