runtime2.append(res2[1])
hop2.append(res2[2])
max2.append(res2[3])
mean2.append(res2[4])
median2.append(res2[5])
res4 = function4.function4(G, source, dstlist3, 5)
cost4.append(res4[0])
runtime4.append(res4[1])
hop4.append(res4[2])
max4.append(res4[3])
mean4.append(res4[4])
median4.append(res4[5])
rpoint = pickle.load(open("save.p", "rb"))
res5 = functiongpim.functiongpim(G, source, dstlist4, rpoint)
cost5.append(res5[0])
runtime5.append(res5[1])
hop5.append(res5[2])
max5.append(res5[3])
mean5.append(res5[4])
median5.append(res5[5])
res6 = functionpim.functionpim(G, source, dstlist3)
cost6.append(res6[0])
runtime6.append(res6[1])
hop6.append(res6[2])
max6.append(res6[3])
mean6.append(res6[4])
median6.append(res6[5])
M=nx.Graph()
data = []
f = open('/home/sowrabh/Desktop/jellyfish_topo.data', 'r')
for line in f.readlines():
vector = line.split()
x1=int(vector[0])
if len(vector)<3:
break
x2=int(vector[1])
w=float(vector[2])
M.add_node(x1)
M.add_node(x2)
M.add_edge(x1,x2,weight=w)
nodes=M.nodes()
dstlist=[]
#r= random.sample(nodes,43)
for i in range(1,45):
dstlist.append(i) # create destination list
source=1
if source in dstlist:
dstlist.remove(source)
dstlist2=list(dstlist)
dstlist3=list(dstlist)
hopcount2=function2fast(M,49,dstlist2)
print "____________________________________________________________________________________ "
hopcount1=functiongpim(M,49,dstlist)
print "_____________________________________________________________________________________"
hopcount3=functionpim(M,49,dstlist3)
runtime2.append(res2[1]) hop2.append(res2[2]) max2.append(res2[3]) mean2.append(res2[4]) median2.append(res2[5]) res4=function4.function4(G,source,dstlist3,5) cost4.append(res4[0]) runtime4.append(res4[1]) hop4.append(res4[2]) max4.append(res4[3]) mean4.append(res4[4]) median4.append(res4[5]) rpoint = pickle.load( open( "save.p", "rb" ) ) res5=functiongpim.functiongpim(G,source,dstlist4,rpoint) cost5.append(res5[0]) runtime5.append(res5[1]) hop5.append(res5[2]) max5.append(res5[3]) mean5.append(res5[4]) median5.append(res5[5]) res6=functionpim.functionpim(G,source,dstlist3) cost6.append(res6[0]) runtime6.append(res6[1]) hop6.append(res6[2]) max6.append(res6[3]) mean6.append(res6[4]) median6.append(res6[5])
M = nx.Graph()
data = []
f = open('/home/sowrabh/Desktop/jellyfish_topo.data', 'r')
for line in f.readlines():
vector = line.split()
x1 = int(vector[0])
if len(vector) < 3:
break
x2 = int(vector[1])
w = float(vector[2])
M.add_node(x1)
M.add_node(x2)
M.add_edge(x1, x2, weight=w)
nodes = M.nodes()
dstlist = []
#r= random.sample(nodes,43)
for i in range(1, 45):
dstlist.append(i) # create destination list
source = 1
if source in dstlist:
dstlist.remove(source)
dstlist2 = list(dstlist)
dstlist3 = list(dstlist)
hopcount2 = function2fast(M, 49, dstlist2)
print "____________________________________________________________________________________ "
hopcount1 = functiongpim(M, 49, dstlist)
print "_____________________________________________________________________________________"
hopcount3 = functionpim(M, 49, dstlist3)
