快速确定Python中的数字是否为数字<10亿

Question

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?

Precision: I'm new to python and would like to work with python 3+ only.

---

Final code

For those who are interested, using MAK's ideas, I generated the following code which is about 1/3 quicker, allowing me to get the result of the euler problem in less than 60 seconds!

from bisect import bisect_left
# sqrt(1000000000) = 31622
__primes = sieve(31622)
def is_prime(n):
    # if prime is already in the list, just pick it
    if n <= 31622:
        i = bisect_left(__primes, n)
        return i != len(__primes) and __primes[i] == n
    # Divide by each known prime
    limit = int(n ** .5)
    for p in __primes:
        if p > limit: return True
        if n % p == 0: return False
    # fall back on trial division if n > 1 billion
    for f in range(31627, limit, 6): # 31627 is the next prime
        if n % f == 0 or n % (f + 4) == 0:
            return False
    return True

Answer 1

For numbers as large as 10^9, one approach can be to generate all primes up to sqrt(10^9) and then simply check the divisibility of the input number against the numbers in that list. If a number isn't divisible by any other prime less than or equal to its square root, it must itself be a prime (it must have at least one factor <=sqrt and another >= sqrt to not be prime). Notice how you do not need to test divisibility for all numbers, just up to the square root (which is around 32,000 - quite manageable I think). You can generate the list of primes using a sieve .

You could also go for a probabilistic prime test . But they can be harder to understand, and for this problem simply using a generated list of primes should suffice.

Answer 2

For solving Project Euler problems I did what you suggest in your question: Implement the Miller Rabin test (in C# but I suspect it will be fast in Python too). The algorithm is not that difficult. For numbers below 4,759,123,141 it is enough to check that a number is a strong pseudo prime to the bases 2, 7, 61. Combine that with trial division by small primes.

I do not know how many of the problems you have solved so far, but having a fast primality test at your disposal will be of great value for a lot of the problems.

Answer 3

You can first divide your n only by your primes_under_100 .

Also, precompute more primes.

Also, you're actually store your range() result in memory - use irange() instead and use this memory for running Sieve of Eratosthenes algorithm .

Answer 4

Well, I have a follow-up to my comment under (very good) Peter Van Der Heijden's answer about there being nothing good for really large primes (numbers in general) in the "popular" Python libraries. Turns out I was wrong - there is one in sympy (great library for symbolic algebra, among others):

https://docs.sympy.org/latest/modules/ntheory.html#sympy.ntheory.primetest.isprime

Of course, it may yield false positives above 10**16 , but this is already much better than anything else I could get doing nothing (except maybe pip install sympy ;) )

Answer 5

def isprime(num):
if (num==3)or(num==2):
    return(True)
elif (num%2 == 0)or(num%5 == 0):
    return (False)
elif ((((num+1)%6 ==0) or ((num-1)%6 ==0)) and (num>1)):
    return (True)
else:
    return (False)

I think this code is the fastest ..