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Simple, concise, more efficient:

  def primes_upto(limit: int):
    """Generate prime numbers < *limit*.""" 
    # Sieve of Eratosthene
    is_prime = [True] * limit 
    for n in range(2, limit):
        if is_prime[n]:
            yield n  # found prime number
            for c in range(n*n, limit, n):  # start with square, less values are marked already
                is_prime[c] = False # mark composites

  if __name__ == "__main__":                
    from itertools import islice
    
    print(*islice(primes_upto(100), 10)) # -> 2 3 5 7 11 13 17 19 23 29


Yeah, but yours was generated by the "post unoptimized code to HN and wait for someone to optimize it" model, which, although free and doesn't require a GPU, is a much slower model.


Someone should turn this into a product! You highlight the code you want to optimize, and it posts it to hn as a semi-contextually-appropriate comment to invite code golfing, and the highest rated reply gets posted back to your repo as a PR.


We then train the LLM on all code optimized like this.


What are some existing data source that are somewhat analogous to this? e.g., Project Euler.


There's also code golf stackexchange[0] and iirc reddit has some daily programmer challenges too

[0] http://codegolf.stackexchange.com/


But, unless you are trying to find a prime number low enough that you might as well look it up in a pre-generated table, it might still be end-to-end more efficient?


Ah, good point :) Touché!




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