def initialize():
config.init_random()
config.generate_prime()
config.generate_h_pwd()
poly.generate_poly()
if __debug__:
pwd = reader.init("input.txt")
else:
pwd = reader.init(raw_input("enter the input file: "))
table.generate(pwd, None)
history.init()
x = map(lambda x: x[0], coordinates) # extract the x and y coordinates
y = map(lambda x: x[1], coordinates)
h_pwd_ = mpz()
for i in xrange(config.max_features):
h_pwd_ = gmpy2.add(h_pwd_, gmpy2.t_mod(gmpy2.mul(y[i], get_lambda_i(x, i)), config.q))
h_pwd_ = gmpy2.t_mod(h_pwd_, config.q)
return h_pwd_
# calculate the value of the polynomial at a point x
def calculate(x):
ans = mpz()
for c_i in c[::-1]:
ans = gmpy2.t_mod(gmpy2.add(gmpy2.mul(ans, x), c_i), config.q)
return ans
if __name__ == "__main__":
# test for calculate
config.init_random()
config.generate_prime()
c = [mpz(20), mpz(1), mpz(2)]
print calculate(mpz(2))
# test for generate_poly() and get_h_pwd
config.generate_h_pwd()
config.max_features = 127
print "h_pwd: ", config.h_pwd
generate_poly()
coordinates = [(i, calculate(i)) for i in [mpz(j+1) for j in range(config.max_features)]]
print "h_pwd_: ", get_h_pwd(coordinates)
def update(pwd, feature):
config.generate_h_pwd() # generate the new h_pwd
stat = history.add_feature(feature) # add the new feature to history file and save it
poly.generate_poly() # generate the new polynomial
table.generate(pwd, stat) # generate the new table