Пример #1
0
import conedy as co

N = co.network()

N.addNode(co.roessler())
N.evolve(0.0, 100.0)
import conedy as co

N = co.network()


N.completeNetwork (10, co.node(), co.weightedEdge());

N.saveAdjacencyMatrix("output/createFromAdjacencyMatrix.py.mat")
N.clear()
N.createFromAdjacencyMatrix("output/createFromAdjacencyMatrix.py.mat")

N.saveAdjacencyMatrix("output/createFromAdjacencyMatrix.py.mat2")




Пример #3
0
import conedy as co

net = co.network()




net.addNode (co.node())
net.addEdge (0,0,co.weightedEdge(1.0))
net.removeEdges(co.weightedEdge())
print "Should be 0:" + str(net.meanDegree())
net.clear()


net.cycle (10000, 2, co.node(), co.staticWeightedEdge())


net.rewire (0.5, co.weightedEdge(1.0))
print "Should be 4:" + str(net.meanDegree())

net.removeEdges (co.weightedEdge(1.0))


print "Should be close to 2:" + str(net.meanDegree())

Пример #4
0
import conedy as co

net = co.network()

net.addNode(co.node())
net.addEdge(0, 0, co.weightedEdge(1.0))
net.removeEdges(co.weightedEdge())
print "Should be 0:" + str(net.meanDegree())
net.clear()

net.cycle(10000, 2, co.node(), co.staticWeightedEdge())

net.rewire(0.5, co.weightedEdge(1.0))
print "Should be 4:" + str(net.meanDegree())

net.removeEdges(co.weightedEdge(1.0))

print "Should be close to 2:" + str(net.meanDegree())
Пример #5
0
def foo():
	N = co.network()
	N.addNode(co.lorenz())
	N.evolve(0, 100)