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/**
* Author: Lukas Polacek
* Date: 2010-01-28
* License: CC0
* Source: Wikipedia
* Description: Pollard's rho algorithm. It is a probabilistic factorisation
* algorithm, whose expected time complexity is good. Before you start using it,
* run {\tt init(bits)}, where bits is the length of the numbers you use.
* to get factor multiple times, uncomment comments with (*)
* Status: tested on jutge Factorization and GCPC15 F
* Time: Expected running time should be good enough for 50-bit numbers.
*/
#pragma once
#include "MillerRabin.h"
#include "eratosthenes.h"
#include "euclid.h"
vector<ull> pr;
ull f(ull a, ull n, ull &has) {
return (mod_mul(a, a, n) + has) % n;
}
vector<ull> factor(ull d) {
vector<ull> res;
for (size_t i = 0; i < pr.size() && pr[i]*pr[i] <= d; i++)
if (d % pr[i] == 0) {
while (d % pr[i] == 0) /*{ */ d /= pr[i];
res.push_back(pr[i]); /*} (*)*/
}
//d is now a product of at most 2 primes.
if (d > 1) {
if (prime(d))
res.push_back(d);
else while (true) {
ull has = rand() % 2321 + 47;
ull x = 2, y = 2, c = 1;
for (; c==1; c = gcd((y > x ? y - x : x - y), d)) {
x = f(x, d, has);
y = f(f(y, d, has), d, has);
}
if (c != d) {
res.push_back(c); d /= c;
if (d != c /* || true (*)*/) res.push_back(d);
break;
}
}
}
return res;
}
void init(int bits) {//how many bits do we use?
vi p = eratosthenes_sieve(1 << ((bits + 2) / 3));
pr.resize(p.size());
for (size_t i=0; i<pr.size(); i++)
pr[i] = p[i];
}
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