def getpl():
allhm,allhminv,hm,hminv=[],[],[],[]
for s in gi.nodes():
[d,dinv,dist,distinv]=allsp(s)
allhm.append(utils.harmean(d))
allhminv.append(utils.harmean(dinv))
hm=float(utils.harmean(allhm)) # distance with the real weights (high means good)
hminv=utils.harmean(allhminv)
return hminv
def avg(dist):
"""
calculates the average path length
"""
# from matrix to list
tmp = list_dist(dist)
filtered = filter(lambda x: x > 0.0 and x < float('Inf'), tmp)
return utils.harmean(filtered)
