
import unittest

import numpy as np
import torch

from .utils_summarization import build_mask, compute_token_type_ids, process_story, truncate_or_pad

class 						a   (				unittest.TestCase    ):




				def 	__snake_case							(							self	:				str      ):
										snake_case       :     List[str] =    10




				def 	__snake_case							(							self	:				int      ):
										snake_case       :     Any =    [1, 2, 3, 4]
										snake_case       :     List[str] =    [1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
										self.assertEqual(truncate_or_pad(SCREAMING_SNAKE_CASE_,    self.block_size,    0      ),    SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				Optional[Any]      ):
										snake_case       :     Dict =    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
										snake_case       :     Dict =    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
										self.assertEqual(truncate_or_pad(SCREAMING_SNAKE_CASE_,    self.block_size,    0      ),    SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				Optional[int]      ):
										snake_case       :     int =    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
										snake_case       :     Optional[int] =    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
										self.assertEqual(truncate_or_pad(SCREAMING_SNAKE_CASE_,    self.block_size,    0      ),    SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				Union[str, Any]      ):
										snake_case       :     Optional[Any] =    '''It was the year of Our Lord one thousand seven hundred and
        seventy-five.\n\nSpiritual revelations were conceded to England at that
        favoured period, as at this.'''
										snake_case       :     Any =    process_story(SCREAMING_SNAKE_CASE_      )
										self.assertEqual(SCREAMING_SNAKE_CASE_,    []      )




				def 	__snake_case							(							self	:				Dict      ):
										snake_case       :     Dict =    ''''''
										snake_case       :     Optional[Any] =    process_story(SCREAMING_SNAKE_CASE_      )
										self.assertEqual(SCREAMING_SNAKE_CASE_,    []      )
										self.assertEqual(SCREAMING_SNAKE_CASE_,    []      )




				def 	__snake_case							(							self	:				int      ):
										snake_case       :     Tuple =    (
										    '''It was the year of Our Lord one thousand seven hundred and '''
										    '''seventy-five\n\nSpiritual revelations were conceded to England '''
										    '''at that favoured period, as at this.\n@highlight\n\nIt was the best of times'''
										)
										snake_case       :     int =    process_story(SCREAMING_SNAKE_CASE_      )

										snake_case       :     Optional[int] =    [
										    '''It was the year of Our Lord one thousand seven hundred and seventy-five.''',
										    '''Spiritual revelations were conceded to England at that favoured period, as at this.''',
										]
										self.assertEqual(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )

										snake_case       :     Any =    ['''It was the best of times.''']
										self.assertEqual(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				List[str]      ):
										snake_case       :     Dict =    torch.tensor([1, 2, 3, 4]      )
										snake_case       :     str =    torch.tensor([1, 1, 1, 1]      )
										np.testing.assert_array_equal(build_mask(SCREAMING_SNAKE_CASE_,    0      ).numpy(),    expected.numpy()      )




				def 	__snake_case							(							self	:				Any      ):
										snake_case       :     List[Any] =    torch.tensor([1, 2, 3, 4, 23, 23, 23]      )
										snake_case       :     List[str] =    torch.tensor([1, 1, 1, 1, 0, 0, 0]      )
										np.testing.assert_array_equal(build_mask(SCREAMING_SNAKE_CASE_,    23      ).numpy(),    expected.numpy()      )




				def 	__snake_case							(							self	:				Optional[int]      ):
										snake_case       :     Optional[int] =    torch.tensor([8, 2, 3, 4, 1, 1, 1]      )
										snake_case       :     Any =    torch.tensor([1, 1, 1, 1, 0, 0, 0]      )
										np.testing.assert_array_equal(build_mask(SCREAMING_SNAKE_CASE_,    1      ).numpy(),    expected.numpy()      )




				def 	__snake_case							(							self	:				Optional[int]      ):
										snake_case       :     List[Any] =    1_01
										snake_case       :     Tuple =    torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 1_01, 5, 6], [1, 1_01, 3, 4, 1_01, 6]]      )
										snake_case       :     Dict =    torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]]      )

										snake_case       :     int =    compute_token_type_ids(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )
										np.testing.assert_array_equal(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )



'''simple docstring'''





from __future__ import annotations

import math

def      A (       A_							:					int       ):

						if num <= 0:
												snake_case       :     List[Any] =    F"""{num}: Invalid input, please enter a positive integer."""
												raise ValueError(A_       )

						snake_case       :     Optional[Any] =    [True] * (num + 1)
						snake_case       :     List[str] =    []
						snake_case       :     List[Any] =    2
						snake_case       :     str =    int(math.sqrt(A_       )       )

						while start <= end:
												# If start is a prime
												if sieve[start] is True:
																		prime.append(A_       )

																		# Set multiples of start be False
																		for i in range(start * start    ,							num + 1    ,							A_       ):
																								if sieve[i] is True:
																														snake_case       :     int =    False

												start += 1

						for j in range(end + 1    ,							num + 1       ):
												if sieve[j] is True:
																		prime.append(A_       )

						return prime


if __name__ == "__main__":
						print(prime_sieve(int(input("Enter a positive integer: ").strip())))

