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I have a 3000 digits long number must be factored into its prime numbers. I know that there are no prime factors larger than 104743.

Is this possible to do on a “normal” computer in a few minutes since the highest factor is relatively low?

As a reference, I tried this code I found here.

def factorize(n): 
    count = 0; 

    while ((n % 2 > 0) == False):  

        # equivalent to n = n / 2; 
        n >>= 1;  
        count += 1; 

    # if 2 divides it 
    if (count > 0): 
        print(2, count); 

    # check for all the possible 
    # numbers that can divide it 
    for i in range(3, int(math.sqrt(n)) + 1): 
        count = 0; 
        while (n % i == 0):  
            count += 1; 
            n = int(n / i); 
        if (count > 0): 
            print(i, count); 
        i += 2; 

    # if n at the end is a prime number. 
    if (n > 2): 
        print(n, 1); 

n = 5*7*11*13*17*19*23*29*31*37*41*43*47;
factorize(n); 

# This code is contributed by mits 

This code use 59 seconds to factories a 18-digit number with 47 being the highest factor (102481630431415235 was the “test number”). If I stop at the 47th factor it use only 31 seconds, but it is still way too long with the test number being far lower than my need.

Harry
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1 Answers1

3

Since your primes are relatively small, I think it would be faster if you can generate the list of primes first and use them for factorization.

Here is an example code:

import math

# Copied from https://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n/3035188#3035188
def primes2(n):
    """ Input n>=6, Returns a list of primes, 2 <= p < n """
    n, correction = n-n%6+6, 2-(n%6>1)
    sieve = [True] * (n//3)
    for i in range(1,int(n**0.5)//3+1):
      if sieve[i]:
        k=3*i+1|1
        sieve[      k*k//3      ::2*k] = [False] * ((n//6-k*k//6-1)//k+1)
        sieve[k*(k-2*(i&1)+4)//3::2*k] = [False] * ((n//6-k*(k-2*(i&1)+4)//6-1)//k+1)
    return [2,3] + [3*i+1|1 for i in range(1,n//3-correction) if sieve[i]]

def factorize2(n, primes):
    factors = {}
    cur_num = n
    for p in primes:
        if p*p > cur_num:
            break
        while cur_num % p == 0:
            cur_num //= p
            factors[p] = factors.get(p, 0) + 1

    if cur_num >= 2:
        factors[cur_num] = factors.get(cur_num, 0) + 1
    return factors

# Precompute the primes
primes = primes2(110000)
n = 5*7*11*13*17*19*23*29*31*37*41*43*47

result = factorize2(n, primes)
print(result)

For the number in the example this code run around 50ms (which much faster than the code in your question).


UPDATE:

I have tried on 3000 digits number with the following codes:

def generate_big_num(primes, th):
    import random
    num = 1
    while num < th:
        num *= random.choice(primes)
    return num

th = 10**3000
big_num = generate_big_num(primes, th)
print(big_num)
result = factorize2(big_num, primes)
print(result)

And it only took around 60ms on my laptop. So the answer for your question is Yes!

Hope this helps!

Yosua
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  • Thanks, a pre-defined prime-list definitely speeds up the code. For the reference test definitely helps. – Harry Apr 05 '20 at 14:01
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    @Harry I just did a test for 3000 digit number in my laptop, and seems like it can run within 60ms. I have updated my answer as well – Yosua Apr 05 '20 at 14:45
  • Recommend you upvote the answer if you found it helpful – Ben Whaley Apr 05 '20 at 14:45