algorithm-in-python/math/numberTheory/modulo_equation.py
2019-01-31 12:09:46 +08:00

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''' mbinary
#########################################################################
# File : modulo_equation.py
# Author: mbinary
# Mail: zhuheqin1@gmail.com
# Blog: https://mbinary.xyz
# Github: https://github.com/mbinary
# Created Time: 2018-3-4 21:14
# Description:
`--` represents modulo symbol
#########################################################################
'''
import re
from gcd import xgcd
from euler import phi
from isPrime import isPrime
from factor import factor
def ind(m,g):
''' mod m ,primary root g -> {n:indg n}'''
return {j:i for i in range(m-1) \
for j in range(m) if (g**i-j)%m==0}
def gs(m,num=100):
'''return list of m's primary roots below num'''
p = phi(m)
mp = factor(p)
checkLst = [p//i for i in mp]
return [i for i in range(2,num) if all((i**n-1)%m !=0 for n in checkLst)]
def minG(m):
p = phi(m)
mp = factor(p)
checkLst = [p//i for i in mp]
i=2
while 1:
if all((i**n-1)%m !=0 for n in checkLst):return i
i+=1
class solve:
def __init__(self,equ=None):
self.linearPat= re.compile(r'\s*(\d+)\s*--\s*(\d+)[\s\(]*mod\s*(\d+)')
self.sol = []
#self.m = m
#self.ind_mp = ind(m,minG(m))
def noSol(self):
print('equation {equ} has no solution'.format(equ=self.equ))
def error(self):
print("Error! The divisor m must be postive integer")
def solveLinear(self,a,b,m):
'''ax--b(mod m): solve linear equation with one unknown
return ([x1,x2,...],m)
'''
a,b,m = self.check(a,b,m)
g,x,y=xgcd(a,m)
if a*b%g!=0:
self.noSol()
return None
sol=x*b//g
m0 = m//g
sols = [(sol+i*m0)%m for i in range(g)]
print('{}x--{}(mod {}), solution: {} mod {}'.format(a,b,m,sols,m))
return (sols,m)
def check(self,a,b,m):
if m<=0:
self.error()
return None
if a<0:a,b=-a,-b ## important
if b<0:b+= -b//m * m
return a,b,m
def solveHigh(self,a,n,b,m):
''' ax^n -- b (mod m) ind_mp is a dict of m's {n: indg n}'''
ind_mp = ind(m,minG(m))
tmp = ind_mp[b] - ind_mp[a]
if tmp < 0:tmp+=m
sol = self.solveLinear(n,tmp,phi(m))
re_mp = {j:i for i ,j in ind_mp.items()}
sols = [re_mp[i] for i in sol[0]]
print('{}x^{}--{}(mod {}), solution: {} mod {}'.format(a,n,b,m,sols,m))
return sols,m
def solveGroup(self,tups):
'''tups is a list of tongyu equation groups, like
[(a1,b1,m1),(a2,b2,m2)...]
and, m1,m2... are all primes
'''
mp = {}
print('solving group of equations: ')
for a,b,m in tups:
print('{}x--{}(mod {})'.format(a,b,m))
if m in mp:
if mp[m][0]*b!=mp[m][1]*a:
self.noSol()
return
else:mp[m] = (a,b)
product = 1
for i in mp.keys():
product *=i
sol = [0]
for i in mp:
xs,m = self.solveLinear(product//i*mp[i][0],1,i)
new = []
for x in xs:
cur = x*product//i*mp[i][1]
for old in sol:
new.append(old+cur)
sol = new
sol= [i%product for i in sol]
print('final solution: {} mod {}'.format(sol,product))
return sol,product
def __call__(self):
s=input('输入同余方程,用--代表同于号形如3--5(mod 7)代表3x模7同余于5')
li= self.linearPat.findall(s)
li = [(int(a),int(b),int(m)) for a,b,m in li]
print(self.solveLinear(li[0]))
if __name__ == '__main__':
solver = solve()
res = solver.solveLinear(3,6,9)
print()
res = solver.solveHigh(1,8,3,11)
print()
res = solver.solveGroup([(5,11,2),(3,8,5),(4,1,7)])