def open_net(self, *args): filters = ['Network pickle (*.gz), (*.tar.gz)', 'All files (*)'] selectedFilter = 'Network pickle (*.gz), (*.tar.gz)' filters = ';;'.join(filters) fname = QFileDialog.getOpenFileName( self, "Choose a file to open", '', filters, selectedFilter) if fname: try: print ("open " + fname) #self.fname = fname self.net = None self.net = read_pickle(fname) self.scene.draw_net(self.net) except Exception as e: #print ("Error opening file %s" % str(e)), QMessageBox.critical( self, "Error opening file", str(e), QMessageBox.Ok, QMessageBox.NoButton)
@author: admin """ from pymote import NetworkGenerator from pymote.npickle import read_pickle, write_pickle from networkx import minimum_spanning_tree, prim_mst_edges, prim_mst, spring_layout from pymote.network import Network from pymote.simulation import Simulation from networkx import draw, Graph, draw_networkx_edges, draw_networkx_edge_labels, get_node_attributes from pylab import show, figure import random #from pymote.algorithms.turk2018.megamerge_p import MegaMerger from pymote.algorithms.turk2018.megamerge import MegaMerger test_net = net = read_pickle('RandomBezAlg.tar.gz') #test_net = net = read_pickle('WorstCaseBezAlg.tar.gz') net.show() net.algorithms = (MegaMerger,) write_pickle(net, 'RandomSAlg.tar.gz') #write_pickle(net, 'WorstCaseSAlg.tar.gz') ##s ovom mrezom pokretati GUI simulator g = Graph() g.adj=net.adj #Uses Kruskal’s algorithm. #If the graph edges do not have a weight attribute #a default weight of 1 will be used.
from pymote.simulation import Simulation from networkx import minimum_spanning_tree #from pymote.algorithms.turk2018.megamerge_p import MegaMerger from pymote.algorithms.turk2018.megamerge import MegaMerger ##RANDOM net_gen = NetworkGenerator(3) net = net_gen.generate_random_network() #write_pickle(net,'mreza.tar.gz') #graph_tree = minimum_spanning_tree(net) #net.adj = graph_tree.adj ##READ net = Network() read_pickle(net, "all.tar.gz") net.show() net.algorithms = (MegaMerger, ) sim = Simulation(net) sim.run() exclude = list() exclude.append('Neighbors') for node in net.nodes(): print node.id, node.status for key in node.memory: print key, ':\t', node.memory[key]
from pymote import NetworkGenerator from pymote.npickle import read_pickle, write_pickle from networkx import minimum_spanning_tree #from pymote.algorithms.MegaMeger import MegaMerger from pymote.algorithms.turk2018.megamerge_p import MegaMerger from pymote.simulation import Simulation from networkx import draw, Graph from pylab import show net = read_pickle("poslati.txt") write_pickle(net, 'bezAlg.tar.gz') #net.algorithms = (MegaMerger,) #write_pickle(net, 'saAlg.txt') g = Graph() g.add_edge(net.nodes()[0], net.nodes()[1], weight=1) g.add_edge(net.nodes()[0], net.nodes()[2], weight=2) g.add_edge(net.nodes()[0], net.nodes()[5], weight=3) g.add_edge(net.nodes()[2], net.nodes()[6], weight=4) g.add_edge(net.nodes()[3], net.nodes()[5], weight=5) g.add_edge(net.nodes()[4], net.nodes()[6], weight=6) g.add_edge(net.nodes()[6], net.nodes()[7], weight=7) #dodatni, da naprave razliku g.add_edge(net.nodes()[3], net.nodes()[4], weight=8) g.add_edge(net.nodes()[5], net.nodes()[7], weight=9) g.add_edge(net.nodes()[1], net.nodes()[2], weight=10) #draw(g) #show()
""" #from pymote import NetworkGenerator from pymote.npickle import read_pickle, write_pickle from pymote.network import Network from pymote.simulation import Simulation from networkx import minimum_spanning_tree, prim_mst_edges, prim_mst, draw, Graph, draw_networkx_edges, spring_layout, draw_networkx_edge_labels, draw_networkx_nodes, draw_networkx_labels from pylab import show, figure import random #from pymote.algorithms.turk2018.megamerge_p import MegaMerger from pymote.algorithms.turk2018.megamerge import MegaMerger #test_net = read_pickle('RandomBezAlg.tar.gz') #net = read_pickle('RandomBezAlg.tar.gz') test_net = read_pickle('WorstCaseBezAlg.tar.gz') net = read_pickle('WorstCaseBezAlg.tar.gz') #test_net = read_pickle('WorstCaseBezAlg.tar.gz') net.show() # figure(2) #draw(g,pos) # specifiy edge labels explicitly g = Graph() g.adj = net.adj edge_labels = dict([(( u, v,