"""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


_a  :  str=				"sshleifer/bart-tiny-random"
_a  :  List[str]=				"patrickvonplaten/t5-tiny-random"

@require_torch
class 	UpperCamelCase    (					unittest.TestCase		):



				@cached_property
				def       _lowercase  (self       :   int)					->			Any:
					return AutoConfig.from_pretrained(_A)



				def       _lowercase  (self       :   List[Any])					->			List[str]:
					__snake_case	,       *__snake_case    :							str   	=				create_student_by_copying_alternating_layers(_A			,						tempfile.mkdtemp()			,						e=1			,						d=1)
					self.assertEqual(student.config.num_hidden_layers			,						1)



				def       _lowercase  (self       :   Optional[int])					->			str:
					__snake_case	,       *__snake_case    :							Optional[Any]   	=				create_student_by_copying_alternating_layers(_A			,						tempfile.mkdtemp()			,						e=1			,						d=_A)



				def       _lowercase  (self       :   Optional[Any])					->			List[Any]:
					__snake_case	,       *__snake_case    :							Optional[Any]   	=				create_student_by_copying_alternating_layers(_A			,						tempfile.mkdtemp()			,						e=1			,						d=_A)
					self.assertEqual(student.config.encoder_layers			,						1)
					self.assertEqual(student.config.decoder_layers			,						self.teacher_config.encoder_layers)



				def       _lowercase  (self       :   Union[str, Any])					->			Optional[Any]:
					__snake_case	,       *__snake_case    :							List[str]   	=				create_student_by_copying_alternating_layers(_A			,						tempfile.mkdtemp()			,						e=1			,						d=1)
					self.assertEqual(student.config.encoder_layers			,						1)
					self.assertEqual(student.config.decoder_layers			,						1)






				def       _lowercase  (self       :   Dict)					->			Tuple:
					with self.assertRaises(_A):
						create_student_by_copying_alternating_layers(_A			,						tempfile.mkdtemp()			,						e=_A			,						d=_A)






"""simple docstring"""







from __future__ import annotations
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       int						)							->    list[int]:

	'''simple docstring'''





	__snake_case    :							Union[str, Any]   	=				[True] * limit
	__snake_case    :							Tuple   	=				False
	__snake_case    :							Union[str, Any]   	=				False
	__snake_case    :							List[str]   	=				True

	for i in range(3    ,							int(limit**0.5 + 1						)    ,							2						):
		__snake_case    :							List[str]   	=				i * 2
		while index < limit:
			__snake_case    :							List[str]   	=				False
			__snake_case    :							Union[str, Any]   	=				index + i

	__snake_case    :							str   	=				[2]

	for i in range(3    ,							UpperCAmelCase_    ,							2						):
		if is_prime[i]:
			primes.append(UpperCAmelCase_						)

	return primes
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       int = 1_00_00_00						)							->    int:

	'''simple docstring'''





	__snake_case    :							Tuple   	=				prime_sieve(UpperCAmelCase_						)
	__snake_case    :							int   	=				0
	__snake_case    :							str   	=				0

	for i in range(len(UpperCAmelCase_						)						):
		for j in range(i + length    ,							len(UpperCAmelCase_						)						):
			__snake_case    :							Union[str, Any]   	=				sum(primes[i:j]						)
			if sol >= ceiling:
				break

			if sol in primes:
				__snake_case    :							List[Any]   	=				j - i
				__snake_case    :							Optional[Any]   	=				sol

	return largest


if __name__ == "__main__":
	print(f'''{solution() = }''')





