Quickly determine if a number is prime in Python for numbers < 1 billion

Posted by Frór on Stack Overflow See other posts from Stack Overflow or by Frór
Published on 2010-12-28T09:49:35Z Indexed on 2010/12/28 9:53 UTC
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Hi,

My current algorithm to check the primality of numbers in python is way to slow for numbers between 10 million and 1 billion. I want it to be improved knowing that I will never get numbers bigger than 1 billion.

The context is that I can't get an implementation that is quick enough for solving problem 60 of project Euler: I'm getting the answer to the problem in 75 seconds where I need it in 60 seconds. http://projecteuler.net/index.php?section=problems&id=60

I have very few memory at my disposal so I can't store all the prime numbers below 1 billion.

I'm currently using the standard trial division tuned with 6k±1. Is there anything better than this? Do I already need to get the Rabin-Miller method for numbers that are this large.

primes_under_100 = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97]
def isprime(n):
    if n <= 100:
        return n in primes_under_100
    if n % 2 == 0 or n % 3 == 0:
        return False

    for f in range(5, int(n ** .5), 6):
        if n % f == 0 or n % (f + 2) == 0:
            return False
    return True

How can I improve this algorithm?

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