





from __future__ import annotations




def    _a    (							lowerCAmelCase_	):





      """simple docstring"""



      return [ord(_A	) - 96 for elem in plain]




def    _a    (							lowerCAmelCase_	):





      """simple docstring"""



      return "".join(chr(elem + 96	) for elem in encoded	)




def    _a    (							):





      """simple docstring"""



      _snake_case		:	Optional[Any]					     =     encode(input('''-> '''	).strip().lower()	)
      print('''Encoded: '''			,      _A	)
      print('''Decoded:'''			,      decode(_A	)	)


if __name__ == "__main__":
   main()









'''simple docstring'''

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					):







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






        """simple docstring"""





        _snake_case		:	Any					     =     torch.nn.Linear(10     ,     10		)
        _snake_case		:	Optional[int]					     =     torch.optim.SGD(model.parameters()     ,     0.1		)
        _snake_case		:	List[str]					     =     Accelerator()
        _snake_case		:	Optional[Any]					     =     accelerator.prepare(lowercase__		)
        try:
              pickle.loads(pickle.dumps(lowercase__		)		)
        except Exception as e:
              self.fail(F'''Accelerated optimizer pickling failed with {e}'''		)
        AcceleratorState._reset_state()


