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Expected Probability Python Code
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# Author Ravi Prakash Giri | |
import sys | |
total = 0 | |
def fact(n): | |
total = n | |
while n > 1: | |
total *= (n - 1) | |
n -= 1 | |
return total | |
rr=range(2,16) | |
eps=range(2,300) | |
ii=range(1,240) | |
prob_sum_expected=0.0 | |
encyp=[] | |
final=[] | |
const = fact(int(240)) | |
for rho in rr: | |
#print "Rho = ",rho | |
pr=[] | |
p=float(rho-1)/15.0 | |
prob_sum_expected=0.0 | |
for encr in eps: | |
#print "encr =",encr | |
prob_sum=0.0 | |
#print prob_sum | |
for i in ii: | |
const1 = fact(int(i)) | |
const2 = fact(int(240-i)) | |
intermediate = float(const/(const1*const2)) | |
#print "inter",intermediate | |
tmp=float(1-pow(p,encr-1)*(1-p)-pow(p,encr)) | |
tmp1=float(pow(p,encr-1)*(1-p)) | |
temp_result=pow(tmp,240-i)*pow(tmp1,i)*intermediate | |
prob_sum=prob_sum+temp_result | |
#print prob_sum | |
#print tmp,tmp1,temp_result,prob_sum | |
prob_sum = prob_sum*encr | |
prob_sum_expected = prob_sum_expected+prob_sum | |
pr.append(prob_sum_expected) | |
final.append(pr[-1]) | |
print final | |
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