def input_init(personcnt):
# print random.power([0.1,1,10,9],[10,4])
# print random.pareto([0.1,1,10,9],[100,4],type=int)
# print random.pareto(3,100)
# print random.pareto(30,100)
ma_fans = (random.pareto(0.4, personcnt)
) * 10 + 1 #(random.randint(30,100000000,personcnt))*10+1#
cbm_frs = random.pareto(0.5, personcnt) * 10 + 1
inv_mention = random.power(1, personcnt) * 10 + 1 #randint(0,2,personcnt)#
act_micorcnt = random.pareto(3, personcnt) * 10 + 1
# plothem(ma_fans,cbm_frs,inv_mention,act_micorcnt)
return [ma_fans, cbm_frs, inv_mention, act_micorcnt]
def randomlist(self,mode=1,size=1000,low=0,high=100):
"generate a list followed given distribution"
"IN:distribution model code which refer to randomlist method; sequence size; sequence range"
"OUT:a sequence followed distribution like"
x = []
if mode == 1:
x = random.randint(low,high,size=size)
if mode == 2:
x = map(float,random.normal(loc=(low+high)/2.0, scale=(high-low)/6.0, size=size))
if mode == 3:
x = map(long,random.exponential(scale=1, size=size)+low)
if mode == 4:
x = map(long,random.pareto(1,size=size)+low)
if mode == 5:
x = map(long,random.poisson(lam=(low+high)/2.0, size=size))
# x = random.choice(x,size=100)
return x