Segmented sieve - doctests (#9945)

* Replacing the generator with numpy vector operations from lu_decomposition.

* Revert "Replacing the generator with numpy vector operations from lu_decomposition."

This reverts commit ad217c6616.

* Added doctests.

* Update segmented_sieve.py

Removed unnecessary check.

* Update segmented_sieve.py

Added checks for 0 and negative numbers.

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* Update segmented_sieve.py

* Update segmented_sieve.py

Added float number check.

* Update segmented_sieve.py

* Update segmented_sieve.py

simplified verification

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* Update segmented_sieve.py

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* Update segmented_sieve.py

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* ValueError: Number 22.2 must instead be a positive integer

---------

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Co-authored-by: Christian Clauss <cclauss@me.com>
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Kamil 2023-10-07 14:09:39 +05:00 committed by GitHub
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@ -4,7 +4,36 @@ import math
def sieve(n: int) -> list[int]: def sieve(n: int) -> list[int]:
"""Segmented Sieve.""" """
Segmented Sieve.
Examples:
>>> sieve(8)
[2, 3, 5, 7]
>>> sieve(27)
[2, 3, 5, 7, 11, 13, 17, 19, 23]
>>> sieve(0)
Traceback (most recent call last):
...
ValueError: Number 0 must instead be a positive integer
>>> sieve(-1)
Traceback (most recent call last):
...
ValueError: Number -1 must instead be a positive integer
>>> sieve(22.2)
Traceback (most recent call last):
...
ValueError: Number 22.2 must instead be a positive integer
"""
if n <= 0 or isinstance(n, float):
msg = f"Number {n} must instead be a positive integer"
raise ValueError(msg)
in_prime = [] in_prime = []
start = 2 start = 2
end = int(math.sqrt(n)) # Size of every segment end = int(math.sqrt(n)) # Size of every segment
@ -42,4 +71,9 @@ def sieve(n: int) -> list[int]:
return prime return prime
print(sieve(10**6)) if __name__ == "__main__":
import doctest
doctest.testmod()
print(f"{sieve(10**6) = }")