#n= 5000 k= 10 p= 0.5
#sigma: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
#beta =  0.6000000000000001 

#mean of distances:
 Ld= [np.float64(6580.05), np.float64(228.65), np.float64(5.4), np.float64(1.0)] 

#variance of distances:
 Lv= [np.float64(1062.8221970301524), np.float64(64.56936192963347), np.float64(4.913247398615298), np.float64(0.9219544457292888)] 

