
import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu




@require_cpu
class 					_lowerCamelCase			(   unittest.TestCase			):





     """simple docstring"""







     def  __SCREAMING_SNAKE_CASE      (				self	)	-> Union[str, Any]:




           """simple docstring"""







           UpperCamelCase__     : Optional[int]											=					torch.nn.Linear(1_0    ,    1_0	)
           UpperCamelCase__     : List[Any]											=					torch.optim.SGD(model.parameters()    ,    0.1	)
           UpperCamelCase__     : Optional[Any]											=					Accelerator()
           UpperCamelCase__     : Union[str, Any]											=					accelerator.prepare(__SCREAMING_SNAKE_CASE	)
           try:
                 pickle.loads(pickle.dumps(__SCREAMING_SNAKE_CASE	)	)
           except Exception as e:
                 self.fail(F'''Accelerated optimizer pickling failed with {e}'''	)
           AcceleratorState._reset_state()




def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__ = 2_0_0_0_0_0_0		):
      UpperCamelCase__     : Dict											=					[0 for i in range(n + 1		)]
      UpperCamelCase__     : Any											=					1
      UpperCamelCase__     : int											=					1

      for i in range(2			,		int(n**0.5		) + 1		):
            if primality_list[i] == 0:
                  for j in range(i * i			,		n + 1			,		UpperCamelCase__		):
                        UpperCamelCase__     : Any											=					1
      UpperCamelCase__     : Optional[Any]											=					0
      for i in range(UpperCamelCase__		):
            if primality_list[i] == 0:
                  sum_of_primes += i
      return sum_of_primes


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


