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2122474e41
* Replacing the generator with numpy vector operations from lu_decomposition. * Revert "Replacing the generator with numpy vector operations from lu_decomposition." This reverts commit ad217c66165898d62b76cc89ba09c2d7049b6448. * Added doctests. * Update segmented_sieve.py Removed unnecessary check. * Update segmented_sieve.py Added checks for 0 and negative numbers. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update segmented_sieve.py * Update segmented_sieve.py Added float number check. * Update segmented_sieve.py * Update segmented_sieve.py simplified verification * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update segmented_sieve.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update segmented_sieve.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * ValueError: Number 22.2 must instead be a positive integer --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com>
80 lines
1.7 KiB
Python
80 lines
1.7 KiB
Python
"""Segmented Sieve."""
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import math
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def sieve(n: int) -> list[int]:
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"""
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Segmented Sieve.
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Examples:
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>>> sieve(8)
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[2, 3, 5, 7]
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>>> sieve(27)
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[2, 3, 5, 7, 11, 13, 17, 19, 23]
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>>> sieve(0)
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Traceback (most recent call last):
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...
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ValueError: Number 0 must instead be a positive integer
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>>> sieve(-1)
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Traceback (most recent call last):
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...
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ValueError: Number -1 must instead be a positive integer
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>>> sieve(22.2)
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Traceback (most recent call last):
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...
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ValueError: Number 22.2 must instead be a positive integer
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"""
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if n <= 0 or isinstance(n, float):
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msg = f"Number {n} must instead be a positive integer"
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raise ValueError(msg)
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in_prime = []
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start = 2
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end = int(math.sqrt(n)) # Size of every segment
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temp = [True] * (end + 1)
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prime = []
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while start <= end:
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if temp[start] is True:
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in_prime.append(start)
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for i in range(start * start, end + 1, start):
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temp[i] = False
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start += 1
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prime += in_prime
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low = end + 1
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high = min(2 * end, n)
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while low <= n:
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temp = [True] * (high - low + 1)
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for each in in_prime:
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t = math.floor(low / each) * each
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if t < low:
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t += each
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for j in range(t, high + 1, each):
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temp[j - low] = False
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for j in range(len(temp)):
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if temp[j] is True:
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prime.append(j + low)
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low = high + 1
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high = min(high + end, n)
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return prime
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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print(f"{sieve(10**6) = }")
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