






'''simple docstring'''
import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


__lowerCAmelCase				="sshleifer/bart-tiny-random"
__lowerCAmelCase				="patrickvonplaten/t5-tiny-random"


@require_torch
class  _snake_case (					unittest.TestCase       ):

					"""simple docstring"""





					@cached_property
					def 			__SCREAMING_SNAKE_CASE			(  self  )   ->						Dict:
										return AutoConfig.from_pretrained(__lowerCAmelCase  )




					def 			__SCREAMING_SNAKE_CASE			(  self  )   ->						List[Any]:
										a_				,       *a_						= create_student_by_copying_alternating_layers(__lowerCAmelCase ,			tempfile.mkdtemp() ,			e=1 ,			d=1  )
										self.assertEqual(student.config.num_hidden_layers ,			1  )




					def 			__SCREAMING_SNAKE_CASE			(  self  )   ->						Optional[Any]:
										a_				,       *a_						= create_student_by_copying_alternating_layers(__lowerCAmelCase ,			tempfile.mkdtemp() ,			e=1 ,			d=__lowerCAmelCase  )




					def 			__SCREAMING_SNAKE_CASE			(  self  )   ->						List[str]:
										a_				,       *a_						= create_student_by_copying_alternating_layers(__lowerCAmelCase ,			tempfile.mkdtemp() ,			e=1 ,			d=__lowerCAmelCase  )
										self.assertEqual(student.config.encoder_layers ,			1  )
										self.assertEqual(student.config.decoder_layers ,			self.teacher_config.encoder_layers  )




					def 			__SCREAMING_SNAKE_CASE			(  self  )   ->						List[str]:
										a_				,       *a_						= create_student_by_copying_alternating_layers(__lowerCAmelCase ,			tempfile.mkdtemp() ,			e=1 ,			d=1  )
										self.assertEqual(student.config.encoder_layers ,			1  )
										self.assertEqual(student.config.decoder_layers ,			1  )




					def 			__SCREAMING_SNAKE_CASE			(  self  )   ->						Any:


										with self.assertRaises(__lowerCAmelCase  ):
															create_student_by_copying_alternating_layers(__lowerCAmelCase ,			tempfile.mkdtemp() ,			e=__lowerCAmelCase ,			d=__lowerCAmelCase  )


'''simple docstring'''




from __future__ import annotations

import math






def 							snake_case__				(     _A:   int					)       ->      list[int]:

		'''simple docstring'''


		if num <= 0:
				lowerCAmelCase     =    f"{num}: Invalid input, please enter a positive integer."
				raise ValueError(_A					)

		lowerCAmelCase     =    [True] * (num + 1)
		lowerCAmelCase     =    []
		lowerCAmelCase     =    2
		lowerCAmelCase     =    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:
										lowerCAmelCase     =    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())))




