def testGraphs(gs,output):
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
# Turn off cplex output
if not output :
dense.set_log_stream(None)
dense.set_error_stream(None)
dense.set_warning_stream(None)
dense.set_results_stream(None)
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
nodes = getNodes(getNonZero(dense))
t = getSolution(getNonZero(dense))
(name,graph,density) = findSmallestGraph(nodes,gs)
if abs(t-density) < 0.000005:
return True
else:
return False
def testGraphs(gs, output):
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
# Turn off cplex output
if not output:
dense.set_log_stream(None)
dense.set_error_stream(None)
dense.set_warning_stream(None)
dense.set_results_stream(None)
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
nodes = getNodes(getNonZero(dense))
t = getSolution(getNonZero(dense))
(name, graph, density) = findSmallestGraph(nodes, gs)
if abs(t - density) < 0.000005:
return True
else:
return False
def main(argv):
if len(argv) < 1:
usage()
gs = []
for file in argv[1:]: gs.append(snap.LoadEdgeList(snap.PUNGraph, file, 0, 1))
# Load and solve LP
usr_in = ""
print "Program: minimize..."
print "use the following input"
print "data/oregonFAULT-2/oregon2_010421.txt data/oregonFAULT-2/oregon2_010428.txt data/oregonFAULT-2/oregon2_010407.txt"
print "1) minimize nodes wrt sys.argv[1:]"
print "2) Does this input fail (sys.argv[1:]) yes/no"
print "3) Run this: Example nodes"
while usr_in not in ["1","2","3"]:
usr_in = raw_input(">")
print "You have Choosen " + usr_in +"!"
if usr_in == "1":
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
# get the nodes for the LP
nodes = getNodes(getNonZero(dense))
print "size nodes:"+str(nodes)
# minimize the nodes and respective graphs
n,gs = ddmin(2,nodes,gs)
gs0 = []
for g in gs:
gs0.append(getSubgraph(g,n))
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
t = getSolution(getNonZero(dense))
(name,graph,density) = findSmallestGraph(n,gs)
print "t* = "+str(t)
print "density = "+str(density)
print "t* =? density : " +str(abs(t - density) < 0.000005)
print "Local minimal nodes: "+str(n)
print "---"
print "Would you like to save the fault inducing minimized graphs? y/n"
while usr_in not in ["y","n"]:
usr_in = raw_input(">")
if usr_in == "y":
data = sys.argv[1].split("/")[1]
path = "results/snap/minimal/"
if not os.path.exists(path) :
os.makedirs(path)
filename = raw_input('Enter a snapgraph name: ')
print "saving graphs in: " + path +" under names "+filename+"i.txt"
for i in range(0,len(gs)):
snap.SaveEdgeList(gs[i],path+filename+str(i+1)+".txt","Minimal graph from" + data)
else:
print "exiting..."
if usr_in == "2":
if testGraphs(gs,True):
print "No, input does not fail, e.g t* = density"
else:
print "Yes, input does fail, e.g t* != density"
if usr_in == "3":
nodes = [5388, 6659, 13237, 5466, 9019, 9013, 5611]
for g in gs:
g = getSubgraph(g,nodes)
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
t = getSolution(getNonZero(dense))
(name,graph,density) = fsg(nodes)
print "t* = "+str(t)
print "density = "+str(density)
print "t* =? density : " +str(abs(t - density) < 0.000005)
print "Local minimal nodes: "+str(nodes)
def main(argv):
if len(argv) < 1:
usage()
gs = []
for file in argv[1:]:
gs.append(snap.LoadEdgeList(snap.PUNGraph, file, 0, 1))
# Load and solve LP
usr_in = ""
print "Program: minimize..."
print "use the following input"
print "data/oregonFAULT-2/oregon2_010421.txt data/oregonFAULT-2/oregon2_010428.txt data/oregonFAULT-2/oregon2_010407.txt"
print "1) minimize nodes wrt sys.argv[1:]"
print "2) Does this input fail (sys.argv[1:]) yes/no"
print "3) Run this: Example nodes"
while usr_in not in ["1", "2", "3"]:
usr_in = raw_input(">")
print "You have Choosen " + usr_in + "!"
if usr_in == "1":
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
# get the nodes for the LP
nodes = getNodes(getNonZero(dense))
print "size nodes:" + str(nodes)
# minimize the nodes and respective graphs
n, gs = ddmin(2, nodes, gs)
gs0 = []
for g in gs:
gs0.append(getSubgraph(g, n))
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
t = getSolution(getNonZero(dense))
(name, graph, density) = findSmallestGraph(n, gs)
print "t* = " + str(t)
print "density = " + str(density)
print "t* =? density : " + str(abs(t - density) < 0.000005)
print "Local minimal nodes: " + str(n)
print "---"
print "Would you like to save the fault inducing minimized graphs? y/n"
while usr_in not in ["y", "n"]:
usr_in = raw_input(">")
if usr_in == "y":
data = sys.argv[1].split("/")[1]
path = "results/snap/minimal/"
if not os.path.exists(path):
os.makedirs(path)
filename = raw_input('Enter a snapgraph name: ')
print "saving graphs in: " + path + " under names " + filename + "i.txt"
for i in range(0, len(gs)):
snap.SaveEdgeList(gs[i], path + filename + str(i + 1) + ".txt",
"Minimal graph from" + data)
else:
print "exiting..."
if usr_in == "2":
if testGraphs(gs, True):
print "No, input does not fail, e.g t* = density"
else:
print "Yes, input does fail, e.g t* != density"
if usr_in == "3":
nodes = [5388, 6659, 13237, 5466, 9019, 9013, 5611]
for g in gs:
g = getSubgraph(g, nodes)
lp.printMoreGraphs(gs)
dense = cplex.Cplex("dense.lp")
os.remove("dense.lp")
alg = dense.parameters.lpmethod.values
dense.parameters.lpmethod.set(alg.barrier)
dense.solve()
t = getSolution(getNonZero(dense))
(name, graph, density) = fsg(nodes)
print "t* = " + str(t)
print "density = " + str(density)
print "t* =? density : " + str(abs(t - density) < 0.000005)
print "Local minimal nodes: " + str(nodes)