Simple Sieve of Eratosthenes in Python 3Sieve of Eratosthenes - PythonParallel sieve of EratosthenesSieve of...

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Simple Sieve of Eratosthenes in Python 3


Sieve of Eratosthenes - PythonParallel sieve of EratosthenesSieve of Eratosthenes - segmented to increase speed and rangeA non-static Sieve of Eratosthenes class, version 1Sieve32, a simple 32 bit sieve returning IEnumerable<uint> using C#Sieve32Fast - A very fast, memory efficient, multi-threaded Sieve of EratosthenesSieve of Eratosthenes for prime generationProject Euler Problem #41Multiple rusty Sieves of EratosthenesSieve of Eratosthenes prime number finder up to n in C++













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$begingroup$


So yet another Sieve of Eratosthenes in Python 3.



The function returns a list of all primes smaller but not equal max_n.



The motivation is, as a practice, a simple implementation of the algorithm that is faithful, short, readable and transparent, while still getting a reasonable performance.



def primes(max_n):
"""Return a list of primes smaller than max_n."""

sieve = [True] * max_n

# p contains the largest prime yet found.
p = 2

# Only for p < sqrt(max_n) we check,
# i.e. p ** 2 < max_n, to avoid float issues.
while p ** 2 < max_n:

# Cross-out all true multiples of p:
for z in range(2 * p, max_n, p):
sieve[z] = False

# Find the next prime:
for z in range(p + 1, max_n):
if sieve[z]:
p = z
break

# 0 and 1 are not returned:
return [z for z in range(2, max_n) if sieve[z]]


IMHO it would be preferable to avoid p ** 2 < max_n and instead use p < max_n ** 0.5. Can we do this? It surprisingly seems to work as long as max_n ** 0.5 fits into the float mantissa, even if max_n doesn’t.



The second for-loop doesn’t look very nice with the break but I don’t have any idea how to do it otherwise…



Do you have any suggestions?



Are there still any simplifications possible? Or non-hackish ways to increase performance?









share









$endgroup$

















    0












    $begingroup$


    So yet another Sieve of Eratosthenes in Python 3.



    The function returns a list of all primes smaller but not equal max_n.



    The motivation is, as a practice, a simple implementation of the algorithm that is faithful, short, readable and transparent, while still getting a reasonable performance.



    def primes(max_n):
    """Return a list of primes smaller than max_n."""

    sieve = [True] * max_n

    # p contains the largest prime yet found.
    p = 2

    # Only for p < sqrt(max_n) we check,
    # i.e. p ** 2 < max_n, to avoid float issues.
    while p ** 2 < max_n:

    # Cross-out all true multiples of p:
    for z in range(2 * p, max_n, p):
    sieve[z] = False

    # Find the next prime:
    for z in range(p + 1, max_n):
    if sieve[z]:
    p = z
    break

    # 0 and 1 are not returned:
    return [z for z in range(2, max_n) if sieve[z]]


    IMHO it would be preferable to avoid p ** 2 < max_n and instead use p < max_n ** 0.5. Can we do this? It surprisingly seems to work as long as max_n ** 0.5 fits into the float mantissa, even if max_n doesn’t.



    The second for-loop doesn’t look very nice with the break but I don’t have any idea how to do it otherwise…



    Do you have any suggestions?



    Are there still any simplifications possible? Or non-hackish ways to increase performance?









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      So yet another Sieve of Eratosthenes in Python 3.



      The function returns a list of all primes smaller but not equal max_n.



      The motivation is, as a practice, a simple implementation of the algorithm that is faithful, short, readable and transparent, while still getting a reasonable performance.



      def primes(max_n):
      """Return a list of primes smaller than max_n."""

      sieve = [True] * max_n

      # p contains the largest prime yet found.
      p = 2

      # Only for p < sqrt(max_n) we check,
      # i.e. p ** 2 < max_n, to avoid float issues.
      while p ** 2 < max_n:

      # Cross-out all true multiples of p:
      for z in range(2 * p, max_n, p):
      sieve[z] = False

      # Find the next prime:
      for z in range(p + 1, max_n):
      if sieve[z]:
      p = z
      break

      # 0 and 1 are not returned:
      return [z for z in range(2, max_n) if sieve[z]]


      IMHO it would be preferable to avoid p ** 2 < max_n and instead use p < max_n ** 0.5. Can we do this? It surprisingly seems to work as long as max_n ** 0.5 fits into the float mantissa, even if max_n doesn’t.



      The second for-loop doesn’t look very nice with the break but I don’t have any idea how to do it otherwise…



      Do you have any suggestions?



      Are there still any simplifications possible? Or non-hackish ways to increase performance?









      share









      $endgroup$




      So yet another Sieve of Eratosthenes in Python 3.



      The function returns a list of all primes smaller but not equal max_n.



      The motivation is, as a practice, a simple implementation of the algorithm that is faithful, short, readable and transparent, while still getting a reasonable performance.



      def primes(max_n):
      """Return a list of primes smaller than max_n."""

      sieve = [True] * max_n

      # p contains the largest prime yet found.
      p = 2

      # Only for p < sqrt(max_n) we check,
      # i.e. p ** 2 < max_n, to avoid float issues.
      while p ** 2 < max_n:

      # Cross-out all true multiples of p:
      for z in range(2 * p, max_n, p):
      sieve[z] = False

      # Find the next prime:
      for z in range(p + 1, max_n):
      if sieve[z]:
      p = z
      break

      # 0 and 1 are not returned:
      return [z for z in range(2, max_n) if sieve[z]]


      IMHO it would be preferable to avoid p ** 2 < max_n and instead use p < max_n ** 0.5. Can we do this? It surprisingly seems to work as long as max_n ** 0.5 fits into the float mantissa, even if max_n doesn’t.



      The second for-loop doesn’t look very nice with the break but I don’t have any idea how to do it otherwise…



      Do you have any suggestions?



      Are there still any simplifications possible? Or non-hackish ways to increase performance?







      beginner python-3.x sieve-of-eratosthenes





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