def interval_test(DAG, new, old):
# new and old are the names of the 2 papers which form the interval
# Find Interval
interval_DAG = interval(DAG, new, old)
interval_list = interval_DAG.nodes()
inerval_size = len(interval_list)
if interval_size < 1:
print 'Interval is empty'
print 'Interval size is %s' % str(interval_size)
# Find LP
lp = LP(interval_DAG, new, old)
lp_len = len(lp)
print 'Longest Path is %s' % str(lp_len)
# Find DT
dt = DT(interval_DAG, new, old)
print 'Delta T is %s' % str(dt)
# Find DR
dr = DR(interval_DAG, new, old)
print 'Delta Rank is %s' % str(dr)
# Find MPSD
mpsd = MPSD(interval_DAG, lp)
print 'Midpoint Scaling Dimension is %s' % str(mpsd)
# Find MMD
mmd = MMD(interval_DAG)
print 'Myrnheim Meyer Dimension is %s' % str(mmd)
def interval_test(DAG,start,end):
lp = dl.lpd(DAG,start,end)
length = lp[2]
print 'The longest path between %s and %s is %d edges long' %(start,end,length)
interval = lc.interval(DAG,start,end)
N = interval.number_of_nodes()
E = interval.number_of_edges()
print 'The interval contains %d nodes and %d edges' %(N,E)
c = clus.clustering(interval)
print 'For the interval, c+ is %f, c0 is %f, c- is %f' %(c[0],c[1],c[2])
#MMd = MM.MM_dimension(interval)
MPSD = mp.mpsd(interval,lp[1])
#print 'The MM dimension of the interval is %f and the MPSD is %f' %(MMd,MPSD)
print 'The MPSD is %f' %MPSD[0]
out = open('./Cit-HepPh_dimensiontest.txt','w')
while sample > 0:
node1 = choice(node_list)
node2 = choice(node_list)
bday1 = DAG.node[node1]['birthday']
bday2 = DAG.node[node2]['birthday']
if bday1 > bday2:
start = node1
end = node2
else:
start = node2
end = node1
if nx.has_path(DAG,start,end):
if (DAG.node[start]['rank']-DAG.node[end]['rank']) < 3000:
try:
intvl = lc.interval(DAG,start,end)
sample -= 1 #reduce sample number by 1 as we have found an eligable candidate pair
N = len(intvl)
E = intvl.number_of_edges()
dbday = abs(bday1 - bday2)
rankS = DAG.node[start]['rank']
rankE = DAG.node[end]['rank']
lp_result = dl.lpd(DAG,start,end)
lp = lp_result[2]
path = lp_result[1]
print 'Finding MM'
MM_result = MM.MM_dimension(intvl,node_list)
intvl.clear() #for memory purposes
MMd = MM_result[0]
E_TC = MM_result[1]
